https://www.mongodb.com/products/updates Latest updates and features from MongoDB en-us Thu, 26 Mar 2026 17:19:34 GMT https://www.mongodb.com/products/updates/now-ga-export-mongodb-logs-to-any-log-sink https://www.mongodb.com/products/updates/now-ga-export-mongodb-logs-to-any-log-sink Wed, 11 Mar 2026 17:00:00 GMT What it is: The Atlas Log Integration feature automatically pushes MongoDB logs, including mongod and audit logs, to third-party monitoring platforms like Datadog and Splunk, OpenTelemetry-compliant collectors, or cloud object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage.Who it’s for: This feature is for database operators and DevOps teams who use external observability or compliance tools and need to consolidate Atlas telemetry with the rest of their application and infrastructure stack.Why it matters: Centralizing database telemetry in a single interface lets teams correlate MongoDB behavior with application health for faster troubleshooting and incident response, while meeting long‑term log retention and compliance requirements. Atlas Log Integration also removes the need for manual log downloads, ensuring consistent access to diagnostic data needed to maintain availability and performance. Security Observability Compliance MongoDB Atlas Terraform Provider for MongoDB https://www.mongodb.com/products/updates/generally-available-enhanced-in-ide-data-browsing-experience-in-vs-code https://www.mongodb.com/products/updates/generally-available-enhanced-in-ide-data-browsing-experience-in-vs-code Tue, 10 Mar 2026 16:00:00 GMT What it is: The MongoDB for VS Code extension is adding enhanced data browsing capabilities to streamline your workflow. This new experience offers a unified workspace allowing developers to visually browse, query, and edit data natively. It introduces a paginated tree view that automatically detects human-readable fields to create clear, prescriptive document titles, replacing complex, system-generated identifiers. A new action header equips users with buttons to insert, refresh, sort, paginate, and bulk delete directly inside the tree view. Individual records also feature a contextual action menu on hover for quick deleting, copying, cloning, and editing. Finally, the extension now defaults to standard, code-ready syntax for all clipboard and editing functionalities.Who it’s for: This update is built for the nearly 3 million developers who use the MongoDB for VS Code extension. It is designed for developers who want to manage their databases right where they write their code, avoiding forced breaks in their flow state to switch context.Why it matters: Modern developers juggle an average of 14 different tools daily, creating a cognitive load that easily disrupts focus when jumping between applications. By bringing a full-fledged, intuitive data management suite right to the VS Code sidebar, developers no longer need to switch to external terminals or separate database tools for quick tasks. Furthermore, defaulting to standard code formats removes the friction of translating complex data structures, guaranteeing that copied documents and quick fixes are instantly compatible with your application code. This transforms the database experience to be significantly more visual, actionable, and seamless.How to get started: Update or download the MongoDB for VS Code Extension today to transform how you visualize and manage your data. Developer Tooling MongoDB Atlas MongoDB Community Edition MongoDB Enterprise Advanced MongoDB IDE Extensions https://www.mongodb.com/products/updates/now-ga-configurable-alert-severity-levels-for-atlas https://www.mongodb.com/products/updates/now-ga-configurable-alert-severity-levels-for-atlas Thu, 26 Feb 2026 01:45:10 GMT What it is: This feature allows teams to define and override the severity levels of Atlas alerts, aligning them with specific operational requirements. It provides the functionality to fine-tune default priorities and customize how different issues are categorized within the monitoring ecosystem.Who it’s for: This is for operations and site reliability engineering teams who manage incident response workflows and need to reduce alert fatigue. It is particularly relevant for users integrating Atlas with external monitoring tools that require specific severity mappings.Why it matters: Configurable severity levels ensure that teams can prioritize critical issues while minimizing noise from non-essential notifications. This optimization leads to faster response times for high-priority incidents and improved overall operational efficiency. Observability MongoDB Atlas Alerts https://www.mongodb.com/products/updates/now-ga-mongodb-entity-framework-ef-core-provider-now-supports-microsoft-s-ef-core-10-0 https://www.mongodb.com/products/updates/now-ga-mongodb-entity-framework-ef-core-provider-now-supports-microsoft-s-ef-core-10-0 Wed, 25 Feb 2026 15:11:52 GMT What it is: The MongoDB Entity Framework (EF) Core Provider now supports EF Core 10.0, the latest version of Microsoft’s open-source object-relational mapper (ORM) for .NET. The provider now allows teams to upgrade their applications to EF Core 10 without sacrificing compatibility or functionality when targeting MongoDB as the underlying database. Developers can continue to interact with MongoDB using familiar .NET objects and programming patterns, simplifying database integration and development.Who is it for: The MongoDB EF Core Provider is for .NET developers who want to use MongoDB with the same ORM techniques they already know, including class-to-collection mapping, relationship handling, and LINQ queries. This makes it easier to integrate MongoDB into existing .NET projects and maintain consistent coding workflows.Why it matters: The MongoDB EF Core Provider bridges document-oriented and relational development models, enabling teams to work within a unified, familiar framework. Developers can now use the MongoDB EF Core provider in their EF Core 10.0 projects.How to get started: Review the documentation below to learn how to use the MongoDB EF Core Provider with EF Core 10.0. Developer Tooling https://www.mongodb.com/products/updates/now-ga-direct-from-s3-snapshot-restore-for-ops-manager https://www.mongodb.com/products/updates/now-ga-direct-from-s3-snapshot-restore-for-ops-manager Wed, 25 Feb 2026 11:24:27 GMT What it is: Direct-from-S3 restore lets Ops Manager stream snapshot data directly from S3-compatible storage to MongoDB nodes, bypassing the Ops Manager application server in the data path. Ops Manager still orchestrates the workflow and integrity checks, but no longer has to handle the backup load itself.Who it’s for: Enterprise Advanced customers using Ops Manager with S3-compatible snapshot storage, especially those running large fleets or multi‑TB deployments where restore bandwidth, RTO, and Ops Manager capacity are critical concerns.Why it matters: By taking Ops Manager out of the hot data path, restores are no longer constrained by Ops Manager CPU, network, or scale-out footprint. You can push more throughput through your existing S3 infrastructure, achieve faster and more predictable RTOs, and avoid over‑provisioning Ops Manager just to handle peak restore traffic.How to get started: Upgrade to Ops Manager 8.0.19 or later and ensure your backup jobs use an S3-compatible snapshot store. Check out the documentation for step-by-step instructions on how to enable this feature. Performance MongoDB Enterprise Advanced Ops Manager https://www.mongodb.com/products/updates/now-ga-immutable-s3-snapshots-and-cross-ops-manager-import-for-ops-manager-backup https://www.mongodb.com/products/updates/now-ga-immutable-s3-snapshots-and-cross-ops-manager-import-for-ops-manager-backup Wed, 25 Feb 2026 11:18:18 GMT What it is: Ops Manager now supports immutable S3-compatible snapshots with Object Lock and portable backup metadata, so you can harden backups against tampering and import existing snapshots into a rebuilt or new Ops Manager instance.Who it's for: Enterprise Advanced customers running Ops Manager with S3-compatible backup storage who need stronger protection against ransomware or operator error, and a cleaner Disaster Recovery / rollback process for self-managed MongoDB.Why it matters: Snapshot metadata now lives alongside the data in S3-compatible storage, so Ops Manager is no longer a single point of failure for backup history. You can preserve backup chains even if you lose an Ops Manager deployment, simplify disaster recovery, and better align with regulatory and internal resilience requirements. By making backups tamper-resistant at the storage layer, it becomes much harder for malicious attackers or rogue insiders to alter or delete recovery points, even if they gain elevated access to Ops Manager itself.How to get started: Upgrade to Ops Manager 8.0.19 or later and ensure your backup jobs use an S3-compatible snapshot store. Check out the documentation for step-by-step instructions on how to enable this feature. Availability Durability Security Migration Compliance MongoDB Enterprise Advanced Ops Manager https://www.mongodb.com/products/updates/now-ga-atlas-admin-api-rate-limiting https://www.mongodb.com/products/updates/now-ga-atlas-admin-api-rate-limiting Mon, 23 Feb 2026 18:58:48 GMT What it is: The Atlas Admin APIs now feature a standardized rate limiting system using a token bucket algorithm to provide predictable performance and burst capacity. The system introduces standardized API response headers that offer real-time visibility into rate limit quotas, current usage, and reset times.Who it’s for: This update is designed for developers and DevOps engineers who manage Atlas environments programmatically and need to ensure their high-volume automation workflows remain within operational boundaries. It is particularly relevant for users performing large-scale configuration updates or fleet management tasks that require resilient API interactions.Why it matters: Standardized rate limiting protects your teams from unintentional service degradation caused by surge loads or sustained high usage, ensuring high availability for all Atlas users. By providing clear feedback via headers and documentation, the product empowers users to implement effective retry logic and client-side throttling, reducing unexpected request failures.How to get started: Users can view their current usage by inspecting the RateLimit headers in any Admin API response, using the rate limits API to return rate limit quotas, or by reviewing the updated documentation for recommended retry strategies. For specialized high-load requirements, users can work with MongoDB Support to request configuration adjustment Durability Availability Performance Security MongoDB Atlas https://www.mongodb.com/products/updates/now-ga-port-mapping-for-google-private-service-connect-psc-on-mongodb-atlas https://www.mongodb.com/products/updates/now-ga-port-mapping-for-google-private-service-connect-psc-on-mongodb-atlas Thu, 19 Feb 2026 14:38:42 GMT What it is: Google Private Service Connect (PSC) port-mapping enables consumer virtual machines to target specific service ports on a producer virtual machine - this capability is now added to MongoDB Atlas. Who it’s for: This feature is for Cloud Architects and DevOps teams managing Atlas deployments on Google Cloud using Private Service Connect (PSC) who need to optimize network resource usage and simplify connection management.Why it matters: Private Service Connect (PSC) Port-mapping reduces infrastructure complexity and resource consumption by eliminating the need for multiple service endpoints, forwarding rules, and IP addresses. This improvement streamlines configuration and management, removing the requirement for complex scripts or full redeployments when scaling services. It also makes the PSC deployment faster.How to get started: Click the documentation link below for a step-by-step guide on how to get started with Private Service Connect (PSC) port-mapping in Atlas. DevOps Tooling Security Multi-cloud MongoDB Atlas Terraform Provider for MongoDB Multi-cloud Clusters https://www.mongodb.com/products/updates/15-new-purpose-built-project-roles-for-mongodb-atlas https://www.mongodb.com/products/updates/15-new-purpose-built-project-roles-for-mongodb-atlas Tue, 17 Feb 2026 19:00:00 GMT What it is:MongoDB Atlas now offers 15 new granular project-level roles that provide specific permissions for managing clusters, security configurations, and database access. These built-in roles allow for precise access control by isolating functional permissions, such as index management, backup operations, or network configuration, without the requirement of granting broad administrative privileges. Who it’s for: This update is for Atlas administrators, DevOps, and security teams who need to delegate specific operational tasks across complex project environments. It serves organizations requiring strict separation of duties, enabling users to perform maintenance, management, or performance tuning without accessing unnecessary project resources. Why it matters: The availability of these roles enables the implementation of the principle of least privilege, reducing the risk of unauthorized configuration changes or accidental data exposure. By providing targeted access for specialized functions, the new roles help teams maintain a high security posture while streamlining day-to-day operations. How to get started: Start using via Atlas UI, Atlas CLI, Atlas Administration API or API tools. Please check MongoDB Atlas documentation for more information. Security Compliance MongoDB Atlas https://www.mongodb.com/products/updates/enhanced-control-for-cross-region-snapshot-distribution-in-mongodb-atlas https://www.mongodb.com/products/updates/enhanced-control-for-cross-region-snapshot-distribution-in-mongodb-atlas Thu, 12 Feb 2026 23:24:43 GMT What it is:MongoDB Atlas now provides greater flexibility and cost control for cross-region snapshot distribution. Customers can selectively choose which snapshots to copy, apply independent retention policies to copied snapshots, and retroactively update retention settings for existing snapshot copies.Who it’s for:DevOps engineers and DBAs managing multi-region deployments who want to optimize disaster recovery coverage while controlling backup storage costs.Why it matters:Previously, snapshot distribution required copying all snapshots within a selected frequency and retaining them for the same duration as the primary region. These enhancements allow you to align copy behavior with your actual recovery objectives, reduce unnecessary backup storage costs in secondary regions, and maintain compliance without over-retaining backup data.How to get started:You can configure these new options in your project’s backup policy under Additional Snapshot Copies Policy in the Atlas UI or via the Admin API. Check out the documentation below for step-by-step instructions on how to get started. MongoDB Atlas https://www.mongodb.com/products/updates/now-ga-azure-key-vault-akv-secretless-authentication https://www.mongodb.com/products/updates/now-ga-azure-key-vault-akv-secretless-authentication Thu, 12 Feb 2026 14:38:12 GMT What it is: Atlas now supports secretless authentication for Azure Key Vault (AKV) Encryption at Rest (EAR) using an Atlas-managed Azure Service Principal. This capability allows Atlas to authenticate via the Cloud Provider Access framework without requiring users to store static, long-lived Azure credentials within the database platform.Who it’s for: Security administrators and platform engineers managing MongoDB Atlas on Azure who need to enforce strict identity management and secret rotation policies.Why it matters: Removing static credentials shifts access control responsibilities to Azure Role Based Access Control (RBAC), reducing the operational overhead and security risk associated with manually managing secrets. The addition of unversioned Key Vault key URI support further simplifies operations by automatically resolving to the latest key version during rotation.How to get started: Click the documentation link below for a step-by-step guide on how to get started with secretless authentication for Azure Key Vault in Atlas. Security MongoDB Atlas https://www.mongodb.com/products/updates/now-ga-export-mongodb-logs-to-aws-s3 https://www.mongodb.com/products/updates/now-ga-export-mongodb-logs-to-aws-s3 Wed, 04 Feb 2026 23:00:00 GMT What it is: The new Amazon S3 log integration replaces the legacy Push-Based Log Export (PBLE) to provide higher-frequency, one-minute log delivery intervals. This feature enables more granular security and routing, including support for AWS KMS encryption (SSE-KMS), Multi-Region Access Points (MRAPs), and the ability to send specific log types to different S3 buckets.Who it’s for: This integration is for platform engineers and database administrators who require log archiving in Amazon S3 for compliance, security auditing, or performance troubleshooting. It is specifically relevant for those currently using the legacy PBLE feature, which is now deprecated and scheduled for shut-off on February 4, 2027.Why it matters: The new integration improves operational efficiency by reducing log export latency from five minutes to one minute and offering full automation support via the Atlas Admin API and Terraform. By migrating to this replacement, users gain enhanced data protection through native AWS encryption and more flexible log management while ensuring service continuity before the legacy feature is retired. Security Observability Compliance MongoDB Atlas Terraform Provider for MongoDB https://www.mongodb.com/products/updates/now-in-public-preview-lexical-prefilters-for-mongodb-vector-search https://www.mongodb.com/products/updates/now-in-public-preview-lexical-prefilters-for-mongodb-vector-search Thu, 15 Jan 2026 11:00:00 GMT What it is:Lexical Prefilters provides developers with a way to use advanced text and geo analysis filters alongside vector search. This new capability simplifies the challenge of building advanced applications by helping developers build richer and more sophisticated search experiences through the combination of semantic understanding and precise text filtering.Who it’s for:Developers, Search Engineers, ML Engineers, Solution Architects OR existing users who are migrating from the deprecated syntax knnVector and knnBeta, or who want to use advanced filters not supported in $vectorsearch.Why it matters:Lexical prefilters solve a number of challenges for companies building advanced applications, including:Supporting advanced filtering: MongoDB now provides a way to use advanced text and geospatial filters with vector search. This capability eliminates the need for the knnBeta operator and knnVectorfield type, allowing users to move to fully supported features.Increased efficiency: Performing a vector search on a massive dataset is computationally expensive. Lexical prefilters improve search performance by narrowing down the dataset prior to an extensive search being performed, processing fewer candidates which results in a more optimized use of resources.Improving performance: Analyzed text prefilters can improve performance compared to using post-filtering after the vector search is complete. Enabling complex logic: Developers can now build more complex filtering logic that search engineers are accustomed to, such as complex boolean logic using the queryStringoperator.How to get started:To begin using Lexical Prefilters, create a$searchindex with vector type fields and use$search.vectorSearchin your aggregation pipelines, applying lexical filters using any Atlas Search operator. For those planning their migration, please see our query or index docs for more on beginning your migration. Performance AI Retrieval MongoDB Atlas Vector Search Hybrid Search https://www.mongodb.com/products/updates/now-source-available-the-engine-powering-mongodb-search https://www.mongodb.com/products/updates/now-source-available-the-engine-powering-mongodb-search Thu, 15 Jan 2026 11:00:00 GMT What it is: mongot is the Lucene-based engine that powers MongoDB Search and Vector Search. The source code is now available licensed with the Server Side Public License (SSPL) in a public Github repository. This process manages text and vector indexes, executing $search, $searchMeta, and $vectorSearch stages to return metadata and relevant document ID hits for the core database to retrieve. Who it’s for: This release is for engineering teams and developers who require a unified search experience across Atlas, on-premise, and hybrid environments. It also serves teams managing sensitive workloads that require source code inspection for deep auditability and debugging. Why it matters: Source availability provides users with the flexibility to modify and build the search engine for specific environmental constraints while ensuring transparency into query execution. This allows teams to maintain consistent search capabilities and standardized implementations across any deployment environment. How to get started: Users can access and explore the codebase through the public GitHub repository. AI Retrieval MongoDB Community Edition Full-text Search Vector Search https://www.mongodb.com/products/updates/now-in-public-preview-automated-embedding-in-vector-search-in-community-edition https://www.mongodb.com/products/updates/now-in-public-preview-automated-embedding-in-vector-search-in-community-edition Thu, 15 Jan 2026 11:00:00 GMT What it is: Automated text embedding allows MongoDB Community users to create vector search indexes that automatically generate, store, and query text embeddings using Voyage AI models. This feature eliminates the need for manual embedding pipelines by managing the transformation of documents into vectors directly through a new autoEmbed field type in vectorSearch index definitions. Use with your favorite MongoDB language drivers, AI frameworks like LangChain and LangGraph, and the MongoDB MCP server.Who it’s for: This is for MongoDB Community Edition developers who want to implement semantic search but lack the specialized machine learning infrastructure to manage external embedding generation. It specifically serves teams looking to rapidly build AI-native applications or migrate to the latest embedding models with minimal integration complexity.Why it matters: The integration simplifies the developer workflow by replacing a multi-step, error-prone manual process with a single-click experience for semantic search. By handling vector synchronization and query embedding automatically, the product reduces maintenance overhead and accelerates the time to market for local and on-premises AI applications.How to get started:Automated Embedding in MongoDB Vector Search in Community Edition is available now, with MongoDB Atlas and MongoDB Vector Search in Enterprise Edition access coming soon. Jump in with our quick start guide. AI Retrieval MongoDB Community Edition Voyage AI by MongoDB MongoDB Atlas Search Vector Search Embedding Models Hybrid Search Search Nodes MongoDB AI Frameworks https://www.mongodb.com/products/updates/the-voyage-4-series-now-available https://www.mongodb.com/products/updates/the-voyage-4-series-now-available Thu, 15 Jan 2026 11:00:00 GMT What it is:The Voyage 4 series is a new generation of text embedding models consisting of voyage-4-large, voyage-4, voyage-4-lite, and the open-weights voyage-4-nano. All models in the series share a compatible embedding space, eliminating the constraint of using the same embedding model at both document indexing and query time. Users can index with voyage-4-large for maximum retrieval quality, then query with any Voyage 4 model to optimize quality-latency-cost tradeoffs per use case.Who it’s for: These new models are designed to serve teams seeking even more accurate retrieval, as well as the new wave of AI developers building context-engineered agents and AI systems with long-term memory.Why it matters: Previous generations of embedding models required using identical models to embed both queries and documents. By sharing embedding spaces between models, the Voyage 4 model series enables flexibility in the way embeddings are generated: for example, using voyage-4-large for document/chunk embeddings and voyage-4-lite for query embeddings.How to get started:Sign up, generate a model API key, and get 200M free tokens on our latest models. Dive into the documentation and start building with the quick start. AI Retrieval AI-powered tooling MongoDB Atlas Voyage AI by MongoDB Embedding Models https://www.mongodb.com/products/updates/now-in-public-preview-embedding-and-reranking-api-on-mongodb-atlas https://www.mongodb.com/products/updates/now-in-public-preview-embedding-and-reranking-api-on-mongodb-atlas Thu, 15 Jan 2026 11:00:00 GMT What it is:The Embedding and Reranking API is a new serverless API service that provides developers with direct access to Voyage AI’s frontier retrieval models natively within the MongoDB Atlas platform. This service is database-agnostic, meaning it can be integrated into any tech stack or database, and features flexible, token-based pricing.Who it’s for: This API is designed for AI developers and teams building retrieval-powered AI systems, from semantic search and RAG (Retrieval-Augmented Generation) to AI agents. Whether you're an AI startup or an enterprise organization, this API simplifies your development workflow by consolidating critical retrieval components needed for building AI retrieval on a single platform.Why it matters: As AI systems become integral to everyday processes and products, they need high-quality context to reduce hallucinations. Voyage AI's models deliver industry-leading retrieval accuracy to meet this need. By offering these models within Atlas, MongoDB provides a unified platform for your entire AI retrieval stack, combining your operational database, vector search, and retrieval models under a single control plane with unified monitoring and billing. This reduces operational overhead while delivering the security and scalability of MongoDB Atlas.How to get started:Sign up, generate a model API key, and get 200M free tokens on each of our latest models. Dive into the documentation and start building with the Embedding and Reranking API on MongoDB Atlas. AI Retrieval AI-powered tooling MongoDB Atlas Voyage AI by MongoDB Vector Search Hybrid Search Embedding Models https://www.mongodb.com/products/updates/education-ai-and-innovation-skill-badge https://www.mongodb.com/products/updates/education-ai-and-innovation-skill-badge Thu, 15 Jan 2026 11:00:00 GMT What it is: Learn strategies in just 30 minutes for leveraging MongoDB’s unified data platform to scale AI initiatives while reducing architectural complexity. Explore how consolidating capabilities, such as intelligent retrieval with Voyage AI models and real-time processing, creates a secure, singular data platform for production-grade AI.Who it’s for: Strategic leaders and technologists focused on addressing the operational challenges of managing disparate tools and diverse data types to maximize the success of AI projects.Why it matters: This skill helps leaders establish a resilient AI strategy that accelerates time to market and lowers operational costs. By adopting a unified architectural approach, teams can transition from fragmented prototypes to scalable, enterprise-grade AI applications.How to get started: Click on the link below to earn the “AI and Innovation: How MongoDB Enables a Resilient AI Strategy” skill badge and share it on LinkedIn upon completion. AI Retrieval Developer Acceleration MongoDB Atlas Voyage AI by MongoDB MongoDB Atlas Search Vector Search Search Nodes Atlas Stream Processing https://www.mongodb.com/products/updates/now-available-voyage-multimodal-3-5 https://www.mongodb.com/products/updates/now-available-voyage-multimodal-3-5 Thu, 15 Jan 2026 11:00:00 GMT What it is:voyage-multimodal-3.5 is a next-generation multimodal embedding model built for retrieval over text, images, and videos. It embeds interleaved text and images (screenshots, PDFs, tables, figures, slides), and adds explicit support for video frames. It's also the first production-grade video embedding model to support flexible dimensionality, enabled by Matryoshka learning.Who it’s for: This new model is designed for developers seeking higher retrieval accuracy across multiple modalities—text, images, and videos—while matching state-of-the-art text models on pure-text search.Why it matters: voyage-multimodal-3, the industry’s first production-grade multimodal model capable of embedding interleaved texts and images, was released over a year ago. Since then, it has enabled numerous customers to build search and retrieval pipelines over text, PDFs, figures, tables, and other documents rich with visuals. voyage-multimodal-3.5 introduces support for embedding videos while further improving upon voyage-multimodal-3 in terms of retrieval quality.How to get started:Sign up, generate a model API key, and get 200M free tokens and 150B pixels. Dive into the documentation and start building with the quick start. AI-powered tooling AI Retrieval MongoDB Atlas Voyage AI by MongoDB Embedding Models https://www.mongodb.com/products/updates/new-atlas-data-explorer-to-accelerate-developer-productivity https://www.mongodb.com/products/updates/new-atlas-data-explorer-to-accelerate-developer-productivity Thu, 15 Jan 2026 11:00:00 GMT What it is: The new Atlas Data Explorer now features an enhanced suite of developer tools that mirrors the power of MongoDB’s desktop GUI, Compass. This upgrade allow users to perform sophisticated database operations and performance optimization without a desktop GUI installation. New key capabilities include natural language querying, AI-powered assistance, data modeling, bulk operations, schema validation, and performance optimization insights. Who it’s for: This release is for development teams and data architects operating in environments with strict IT governance or security policies that restrict desktop software installations. It also supports distributed teams and contractors who require immediate, browser-based access to data management tools across multiple machines.Why it matters: The integration removes the trade-off between security compliance and productivity by providing high-fidelity tooling within a managed web interface. Teams can accelerate development cycles and simplify onboarding while maintaining alignment with organizational audit and compliance requirements.How to get started: The enhanced Data Explorer is enabled by default in the Atlas UI and can be managed through Atlas Project Settings. Developer Acceleration Developer Tooling AI-powered tooling MongoDB Atlas MongoDB Compass https://www.mongodb.com/products/updates/intelligent-assistant-in-mongodb-compass-and-data-explorer https://www.mongodb.com/products/updates/intelligent-assistant-in-mongodb-compass-and-data-explorer Thu, 15 Jan 2026 11:00:00 GMT What it is: The intelligent assistant is an AI-powered, conversational tool in MongoDB Compass and Atlas Data Explorer that provides MongoDB-specific guidance for debugging connections, optimizing queries, and learning best practices. The product enables natural language querying through read-only tools that require explicit user approval before execution.Who it’s for: The product is for developers of all skill levels who require immediate, context-aware assistance while managing databases. It is particularly relevant for those learning MongoDB syntax or troubleshooting complex performance issues within restricted environments.Why it matters: The assistant reduces context-switching by embedding expert-level database knowledge directly into the development environment. Providing instant, specialized guidance instead of generic AI responses helps accelerate development velocity and reduces the operational overhead of database management.How to get started: Follow the documentation link below for a step-by-step guide on accessing the assistant in Compass and Atlas. Developer Tooling Developer Acceleration AI-powered tooling MongoDB Atlas MongoDB Community Edition MongoDB Enterprise Advanced MongoDB Compass https://www.mongodb.com/products/updates/atlas-stream-processing-support-for-schema-registry-and-avro https://www.mongodb.com/products/updates/atlas-stream-processing-support-for-schema-registry-and-avro Wed, 14 Jan 2026 11:00:00 GMT What it is: Atlas Stream Processing now integrates with Confluent Schema Registry for Avro message formats, enabling automatic schema validation for streaming data. Consumers fetch schemas from the registry to serialize messages, while producers deserialize messages and validate them against registered schema definitions. This native integration supports schema evolution and ensures data integrity across your streaming pipelines. Who it’s for: This feature is for development and platform engineering teams at medium-to-large established companies who utilize Schema Registry and Avro as industry standards for schema management and governance. It is particularly valuable for architects and data engineers maintaining data quality and performance across complex Kafka pipelines without re-engineering existing infrastructure.Why it matters: Native Schema Registry support eliminates the migration barrier from Avro to JSON, removing the engineering effort that previously blocked Atlas Stream Processing use. Teams benefit from near real-time schema validation and improved data integrity without custom code or infrastructure changes. Developer Tooling MongoDB Atlas Atlas Stream Processing https://www.mongodb.com/products/updates/now-available-service-accounts-for-atlas-admin-api-access-in-atlas-for-government https://www.mongodb.com/products/updates/now-available-service-accounts-for-atlas-admin-api-access-in-atlas-for-government Fri, 02 Jan 2026 19:06:27 GMT What it is: Service Accounts for Atlas Admin API access are now available in MongoDB Atlas for Government, enabling OAuth 2.0–based, machine-to-machine authentication as an alternative to programmatic API keys.Who it's for:Government customers and regulated organizations using Atlas for Government who need secure, automated access to the Atlas Administration API from applications, CI/CD pipelines, or infrastructure tooling.Why it matters:Service Accounts simplify and strengthen API authentication by supporting modern OAuth 2.0 client credentials flows, reducing the operational burden of managing and rotating API keys. They enable granular, least-privilege access while aligning with cloud-native and compliance-focused security practices common in public sector environments.How to get started:Create and manage Service Accounts at the organization or project level in Atlas for Government using the Atlas UI or Atlas Admin API, then authenticate API requests using OAuth 2.0 client credentials. Documentation provides step-by-step guidance for setup and role assignment. Security MongoDB Atlas for Government https://www.mongodb.com/products/updates/export-atlas-backup-snapshots-to-amazon-s3-over-aws-privatelink-same-region https://www.mongodb.com/products/updates/export-atlas-backup-snapshots-to-amazon-s3-over-aws-privatelink-same-region Mon, 22 Dec 2025 18:53:36 GMT What it is:MongoDB Atlas now offers an additional, more secure option for exporting backup snapshots to Amazon S3 over AWS PrivateLink. While Atlas already supports backup exports to S3, this enhancement enables same-region exports to occur entirely over private endpoints, keeping all traffic on private IPs rather than public networks. Support for cross-region exports over AWS private endpoints will follow in a future release.Who it's for:This feature is designed for organizations that require private-only networking and strict data-movement controls, including those operating in regulated industries, financial services, healthcare, or environments where access to AWS services, such as customer-managed KMS keys, is restricted to PrivateLink.Why it matters:Exporting snapshots over PrivateLink strengthens your cloud security posture by ensuring that sensitive backup data never traverses public networks. Customers can maintain stricter network controls while continuing to benefit from seamless, automated backup exports to S3.How to get started:Check out the documentation below for detailed instructions on configuring your private endpoints from Atlas to your AWS S3 bucket. Security MongoDB Atlas https://www.mongodb.com/products/updates/atlas-stream-processing-with-aws-kinesis-data-streams https://www.mongodb.com/products/updates/atlas-stream-processing-with-aws-kinesis-data-streams Tue, 09 Dec 2025 21:48:11 GMT What it is: Atlas Stream Processing now supports AWS Kinesis Data Streams, enabling bidirectional streaming between Kinesis and MongoDB. You can read from Kinesis streams for near real-time processing, write processed data back to Kinesis for downstream AWS services, or build transformation pipelines that enrich Kinesis events with MongoDB data. Authentication uses IAM Assume Role, and PrivateLink endpoints are supported for secure network connectivity. Who it's for: This integration is built for teams running event-driven architectures on AWS who need to connect streaming data pipelines with MongoDB for operational queries, change data capture, or near real-time enrichment workflows. It's particularly valuable for developers working with IoT telemetry, clickstream analytics, or microservices architectures that require seamless integration between Kinesis and Atlas. Why it matters: Native Kinesis integration eliminates the need for custom connector code, ongoing maintenance, and complex infrastructure management. Teams can now build production-grade streaming pipelines between AWS and MongoDB using familiar aggregation syntax, reducing integration overhead and accelerating time to deployment for near real-time data architectures. How to get started: Check out the documentation below for detailed instructions on configuring your stream processing pipeline. Data Services MongoDB Atlas Atlas Stream Processing https://www.mongodb.com/products/updates/cross-region-cloud-based-initial-sync https://www.mongodb.com/products/updates/cross-region-cloud-based-initial-sync Mon, 01 Dec 2025 16:12:25 GMT What it is: We have improved the time required to sync a new node in a new region by up to 350%, leveraging a data snapshot from a node in a different region. This functionality is used when you add new nodes to a multi-region Atlas cluster, or when MongoDB Atlas restores impaired nodes. Who it’s for: This feature is for customers who leverage multi-region MongoDB Atlas clusters on AWS, particularly in the General or Low-CPU Dedicated tiers, to run nodes simultaneously across regions for resilience or low-latency purposes. Why it matters: With this functionality, users can reliably add new nodes for horizontal scalability and minimize impact to availability faster, no matter the region. How to get started: This functionality is enabled for any new multi-region clusters on AWS created after Dec 1, 2025. Rollout to existing multi-region clusters on AWS will begin starting Dec 1, 2025. MongoDB Atlas https://www.mongodb.com/products/updates/new-scoring-options-for-consistent-pagination-on-search-nodes https://www.mongodb.com/products/updates/new-scoring-options-for-consistent-pagination-on-search-nodes Thu, 20 Nov 2025 18:57:03 GMT What it is: In addition to BM25, Atlas Search now supports two additional scoring options. `stableTfl` is a custom MongoDB Search scoring algorithm that uses the length of terms to derive term rarity. `boolean` is a scoring algorithm that checks whether each query term is present in a document and counts how many terms are found. Who it’s for: Customers who deployed Search Nodes that paginate over results sorted by relevancy score. `boolean` is also frequently used for entity-matching use cases. Why it matters: Enables customers to build fast and consistent pagination experiences when using Search Nodes, providing high search accuracy without compromising workload isolation and high availability. How to get started: Try it in the Search Playground and see the documentation to learn more. Availability Performance MongoDB Atlas MongoDB Atlas Search Search Nodes https://www.mongodb.com/products/updates/embeddeddocuments-as-first-class-citizens-of-mongodb-search https://www.mongodb.com/products/updates/embeddeddocuments-as-first-class-citizens-of-mongodb-search Thu, 20 Nov 2025 18:31:05 GMT What it is: When querying objects within arrays, use 'returnScope' to return only the elements that match the query, rather than returning the entire parent document with the entire array. 'returnScope' also introduces the ability to use all search features at the embedded document level, including faceting and counting across returned elements. Who it’s for: Customers who use arrays of objects to represent one-to-many relationships that need to search and filter for specific matching entities. E.g. In the 'sample_airbnb.listingsAndReviews' sample collection of vacation rentals, return 'reviews' that match a search for “clean” Why it matters: Atlas Search can be used to achieve fast searching, faceting, sorting, pagination on objects within arrays without making any changes to the existing data models. How to get started: Configure a search index definition with an embeddedDocuments type and specify 'storedSource' fields. Then, specify 'returnScope.path' and 'returnStoredSource' in the $search or $searchMeta query. Try it in the Search Playground and see the documentation to learn more. Performance Data Services MongoDB Atlas MongoDB Atlas Search Full-text Search https://www.mongodb.com/products/updates/now-available-secretless-authentication-for-google-cloud-key-management-system https://www.mongodb.com/products/updates/now-available-secretless-authentication-for-google-cloud-key-management-system Thu, 20 Nov 2025 16:58:53 GMT What it is: Secretless Authentication for Google Cloud KMS lets you configure Encryption at Rest with customer-managed keys in Atlas without uploading long-lived credentials. Atlas now uses short-lived access tokens for authentication. Who it is for: Organizations using Google Cloud KMS to manage their own encryption keys for MongoDB Atlas deployments. Why it matters: Eliminates the need to store long-lived credentials in Atlas, reducing operational overhead and improving your security posture through a more ephemeral, least-privilege authentication model. How to get started: Configure customer-managed encryption keys in the Atlas UI or API and select the secretless authentication option for Google Cloud KMS. Documentation includes step-by-step setup instructions and required IAM roles. Security MongoDB Atlas https://www.mongodb.com/products/updates/tls-1-3-is-now-supported-in-atlas https://www.mongodb.com/products/updates/tls-1-3-is-now-supported-in-atlas Thu, 20 Nov 2025 16:57:08 GMT What it is: MongoDB Atlas is rolling out support for TLS 1.3, the latest and most secure protocol for encrypting data in transit. Who it is for: All organizations using Atlas. Why it matters: TLS 1.3 delivers stronger default security, faster handshakes, and reduced connection latency. By standardizing on TLS 1.2 and TLS 1.3, Atlas aligns with industry best practices and provides a secure, resilient communication channel for all users. How to get started: No action is required; TLS 1.3 support is rolling out automatically. If you use custom cipher suites, you must select TLS 1.3 suites before TLS 1.3 will be used for your cluster. Security MongoDB Atlas https://www.mongodb.com/products/updates/secure-prometheus-monitoring-for-mongodb-atlas-with-aws-privatelink https://www.mongodb.com/products/updates/secure-prometheus-monitoring-for-mongodb-atlas-with-aws-privatelink Wed, 19 Nov 2025 18:51:23 GMT What it is: A secure way for organizations to collect MongoDB Atlas metrics using Prometheus over AWS PrivateLink. This enhancement enables Prometheus collectors to scrape metrics from Atlas dedicated clusters entirely within the AWS network, thereby avoiding public internet exposure and improving operational reliability. Who it’s for: Teams that rely on Prometheus for monitoring MongoDB Atlas deployments and need a secure, compliant, and controlled networking setup—especially those operating in AWS and with strong security or operational requirements. Why it matters: Prometheus is central to many observability stacks; however, collecting metrics over the public internet or managing complex VPC peering creates significant security and operational challenges. AWS PrivateLink offers a private, isolated pathway for metric traffic, improving security, reducing network complexity, ensuring predictable performance, and supporting strict compliance requirements. How to get started: Use the existing MongoDB Atlas PrivateLink endpoint, update your Prometheus scrape configuration with the PrivateLink discovery endpoint provided in the Atlas UI, and deploy regional scrapers if you operate multi-region clusters. Configuration can be managed through the Atlas UI, the Public API, or Terraform for IaC workflows. Security Performance Observability Developer Acceleration Developer Tooling MongoDB Atlas https://www.mongodb.com/products/updates/predictive-auto-scaling-for-mongodb-atlas https://www.mongodb.com/products/updates/predictive-auto-scaling-for-mongodb-atlas Wed, 19 Nov 2025 17:52:23 GMT What it is: Predictive auto-scaling is an enhancement to Atlas auto-scaling. This predictive system uses demand forecasting to anticipate workload surges, meaning clusters' compute can scale up preemptively using past cyclical patterns, providing clusters with the necessary resources before a workload spike occurs. Note that this only occurs in scale-up events; scale-down is still triggered only by existing scaling logic. This enhancement adheres to the min and max cluster tiers configured by users. Who it’s for: Customers who enable auto-scaling on their clusters to automatically handle increases and decreases in usage and traffic. This is ideal for users with cyclical or seasonal workloads such as batch jobs or applications with predictable, cyclical high user demand (such as consistent daily or weekly spikes). Why it matters: Prior to predictive auto-scaling, scale-up events have only been reactive, only being triggered after a spike in demand is observed. Predictive auto-scaling reduces resource constraints and maintains consistent query performance and availability during predictable, cyclical spikes (e.g., daily morning usage, scheduled batch jobs, or seasonal trends). This helps teams to stay ahead of demand by proactively handling dynamic workloads that see large, rapid, and predictable increases in workload. How to get started: This functionality began rolling out on November 3rd to some existing auto-scaling clusters and will be available for all eligible clusters in the next few months. No additional setup or configuration is required to utilize this new feature other than enabling auto-scaling for the cluster. Availability Durability MongoDB Atlas https://www.mongodb.com/products/updates/improvements-to-mongodb-search-indexes-dynamic-mappings-in-public-preview https://www.mongodb.com/products/updates/improvements-to-mongodb-search-indexes-dynamic-mappings-in-public-preview Tue, 11 Nov 2025 18:01:29 GMT What it is: Dynamic mappings are used to automatically index fields in MongoDB Search without having to reference each field. Now in public preview, you can configure a typeSet to specify how dynamically mapped fields are indexed, unlocking broader use cases for faster search at scale. Who it’s for: Dynamic mappings is for customers with dynamically changing or unpredictable schemas where new fields are added and need to be searchable. This is a common requirement for multi-tenant use cases, where each tenant has a set of customizable fields that need to be included in the search index. Why it matters: This feature allows users to seamlessly index new fields without having to initiate a long and resource-intensive index rebuild. How to get started: Configure a typeSet in the search index definition (currently supported for JSON definitions only) and specify the typeSet for dynamic mappings. Try it in the Search Playground and see the documentation to learn more. Performance Developer Tooling Developer Acceleration MongoDB Community Edition MongoDB Atlas MongoDB Enterprise Advanced MongoDB Atlas Search Full-text Search https://www.mongodb.com/products/updates/mongodb-extension-for-hibernate-orm-now-in-public-preview https://www.mongodb.com/products/updates/mongodb-extension-for-hibernate-orm-now-in-public-preview Wed, 05 Nov 2025 19:53:40 GMT What it is: Hibernate is an object-relational mapping (ORM) framework for Java that maps Java classes to database tables and Java data types to relational data types. It enables developers to query and retrieve data efficiently. The MongoDB Extension for Hibernate, currently in public preview, allows Java developers to create modern applications with MongoDB while leveraging Hibernate's user-friendly features. Who it’s for: The extension gives Java developers the freedom and flexibility to build modern applications that combine the benefits of MongoDB’s document model with familiar and ergonomic Hibernate features, such as Java Persistence API (JPA) annotations, Hibernate Query Language (HQL) support, Criteria Queries, and caching. This extension also supports querying using the MongoDB Query API for more advanced operations, such as multi-collection joins and vector search queries. Why it matters: Java developers can now leverage familiar Hibernate features such as @Entity, @Id, and Session.persist() for entity operations and queries. This integration offers the best of both worlds, combining established Hibernate paradigms while enjoying the schema flexibility of MongoDB. Developer Acceleration Developer Tooling https://www.mongodb.com/products/updates/new-data-modeling-experience-in-mongodb-compass https://www.mongodb.com/products/updates/new-data-modeling-experience-in-mongodb-compass Tue, 04 Nov 2025 18:22:40 GMT What it is: The new data modeling experience in Compass allows you to take full control of your current data model and craft it according to your application needs. You can now visualize your data model, refactor it, and collaborate easily with other teams to build an optimal data model for your applications. Who it’s for: This tool is designed for all professionals involved in or impacted by MongoDB data model design. It empowers developers to rapidly iterate on data model designs to meet application requirements and enables database architects to validate data models for integrity and accuracy. Data architects can visually plan and communicate complex data models, while new users can quickly learn these models and provide feedback sooner. Why it matters: Many developers spend a significant amount of time determining the structure of their data model and understanding how it functions. The new data modeling experience accelerates application development by providing a quick and clear source of truth for the data model, offering developers a new way to iterate and collaborate with other teams to determine the optimal model for their application. Developer Tooling Developer Acceleration MongoDB Compass https://www.mongodb.com/products/updates/workspaces-and-new-tiers-for-atlas-stream-processing-now-generally-available https://www.mongodb.com/products/updates/workspaces-and-new-tiers-for-atlas-stream-processing-now-generally-available Fri, 31 Oct 2025 19:18:21 GMT What it is: Atlas Stream Processing Workspaces replace Instances with simplified per-processor pricing and clearer resource organization. Workspaces let you set default tiers at the workspace level while adjusting individual processors as needed, and introduce new tiers (SP2, SP5, SP50) for more granular workload matching. Who it’s for: Teams evaluating or currently using Atlas Stream Processing to build real-time and event-driven applications. Why it matters: Clearer per-processor pricing gives customers granular control to right-size resources and cut costs as they scale. Intuitive setup defaults ensure teams can get to production faster with their real-time applications. Pricing MongoDB Atlas Atlas Stream Processing https://www.mongodb.com/products/updates/query-shapes-with-mongodb-and-datadog-now-generally-available https://www.mongodb.com/products/updates/query-shapes-with-mongodb-and-datadog-now-generally-available Fri, 17 Oct 2025 18:07:08 GMT What it is: Query Shapes with MongoDB and Datadog lets teams view detailed MongoDB query performance data directly in Datadog. It surfaces query metrics like latency and execution frequency, giving a unified view of database performance alongside application and infrastructure data. Who it’s for: This feature is for developers, DBAs, SREs, and observability teams who monitor and optimize database performance. It helps these groups collaborate more effectively by making MongoDB query insights available within their existing Datadog workflows. Why it matters: Query Shapes helps teams quickly identify slow or inefficient queries without switching tools. It shortens root cause analysis time, improves application reliability, and provides the context needed to continuously optimize performance. How to get started: Connect your MongoDB Atlas deployment to Datadog and update to the latest integration version. Once enabled, visit the Query Shapes view in Datadog to monitor metrics, visualize trends, and set up alerts for performance issues. Performance Observability Availability MongoDB Atlas Query Insights https://www.mongodb.com/products/updates/intelligent-assistant-in-mongodb-compass-and-atlas-data-explorer-now-in-public-preview https://www.mongodb.com/products/updates/intelligent-assistant-in-mongodb-compass-and-atlas-data-explorer-now-in-public-preview Tue, 07 Oct 2025 17:21:21 GMT What it is: The intelligent MongoDB assistant, available right within Compass and Atlas Data Explorer, is an AI-powered, conversational tool that provides tailored, MongoDB-specific guidance directly within your existing workflow. The assistant answers questions in natural language, providing expert guidance on troubleshooting and optimization opportunities for areas like query performance.Who it's for: This is for developers who want to stay focused and eliminate the friction of switching between tools. Instead of interrupting your flow to search external documentation or navigate multiple screens to debug errors, you can now resolve issues and optimize performance directly within your environment. By removing the need to toggle between windows or rely on general-purpose AI chatbots that lack deep database expertise, the assistant ensures you spend less time troubleshooting and more time building.Why it matters: In a fast-moving market, remaining competitive requires tools that work as fast as you do. The intelligent assistant provides precise, MongoDB-specific expertise that general-purpose AI simply can't match. By delivering accurate answers and performance optimizations directly within your workflow, it eliminates the "learning tax" of manual troubleshooting. This ensures your team spends more time shipping features and less time debugging, keeping your development cycle remaining competitive and lean.How to get started: Check out the links to our documentation below to learn how to get started with the assistant in Compass and Data Explorer or navigate to the Compass webpage to download Compass if you have not already. Developer Tooling MongoDB Atlas MongoDB Enterprise Advanced MongoDB Community Edition MongoDB Compass https://www.mongodb.com/products/updates/terraform-mongodb-atlas-provider-2-0-now-available https://www.mongodb.com/products/updates/terraform-mongodb-atlas-provider-2-0-now-available Fri, 19 Sep 2025 15:16:03 GMT What it is: The Terraform MongoDB Atlas Provider 2.0 introduces a more reliable, production-ready experience for managing MongoDB Atlas infrastructure. This release eliminates hanging timeouts, simplifies migrations to advanced cluster types, and adds accurate state tracking for user management. It follows semantic versioning aligned with HashiCorp best practices, resolving legacy technical debt for a smoother and more consistent experience. Who is it for: The Terraform MongoDB Atlas Provider 2.0 is for DevOps and platform engineering teams automating MongoDB Atlas deployments with Terraform. This release provides predictable, enterprise-grade infrastructure operations without workflow friction. Why it matters: Version 2.0 delivers greater stability, consistency, and operational confidence. Teams gain the HashiCorp-level reliability they expect—enabling them to safely roll out MongoDB Atlas features, manage users efficiently, and execute infrastructure changes with fewer surprises or breaking issues. How to get started: Upgrade to the Terraform MongoDB Atlas Provider 2.0 and review the documentation below for migration instructions and new features. Security Durability DevOps Tooling MongoDB Atlas Terraform Provider for MongoDB https://www.mongodb.com/products/updates/mongodb-and-n8n-integration https://www.mongodb.com/products/updates/mongodb-and-n8n-integration Wed, 17 Sep 2025 19:14:38 GMT What it is: This is the official integration between MongoDB and n8n, a popular low-code tool for automating workflows. With this integration, you can use n8n's visual interface and pre-built components to connect with MongoDB, making it easy to build complex workflows without writing any code. Who it's for: This is for developers and "citizen developers"—including AI engineers, data analysts, and business users—who build and automate workflows using n8n. It's also ideal for companies that want a simple and scalable way to integrate MongoDB into their AI and automation projects. Why it matters: This integration gives n8n users an officially supported way to connect to and use MongoDB for their AI projects. It simplifies building advanced workflows like Retrieval-Augmented Generation (RAG) by letting users visually leverage MongoDB Atlas Vector Search, speeding up AI development and making MongoDB more accessible to a low-code audience. Developer Tooling MongoDB AI Frameworks https://www.mongodb.com/products/updates/mongodb-and-crewai-integration https://www.mongodb.com/products/updates/mongodb-and-crewai-integration Wed, 17 Sep 2025 18:59:14 GMT What it is:This is the official integration between MongoDB and CrewAI, a popular open-source framework for building AI agents that work together. This new connection allows developers to use powerful features from MongoDB Atlas, such as vector search, as a core part of their multi-agent AI systems.Who it's for:This integration is designed for developers, enterprises, and AI engineers who are using or considering the CrewAI framework to build autonomous AI systems. It is also perfect for organizations that need a trusted and officially supported data platform for their AI projects, especially for tasks like Retrieval-Augmented Generation (RAG).Why it matters:This official integration gives thousands of CrewAI users access to MongoDB's powerful features. By letting MongoDB act as a vector store for RAG, this partnership provides a trusted data platform for building accurate and scalable AI applications. It helps developers use MongoDB's flexible document model and enterprise-grade features directly within their preferred tool, speeding up the creation of advanced AI workflows.How to get started:Check out our documentation to install the MongoDB and CrewAI Integration AI-powered tooling MongoDB AI Frameworks https://www.mongodb.com/products/updates/mongodb-mcp-server-generally-available https://www.mongodb.com/products/updates/mongodb-mcp-server-generally-available Wed, 17 Sep 2025 18:54:08 GMT What it is: The MongoDB MCP (Model Context Protocol) Server is a specialized server that connects any MongoDB deployment to AI-powered developer tools and agents like Windsurf, Cursor, and GitHub Copilot. It brings valuable context from MongoDB databases into developer environments, enabling data exploration, database operations, and context-aware code generation via natural language. Who it’s for: This is for developers using AI coding assistants and LLM-powered applications who want to interact with their MongoDB data and perform database operations without switching tools. It helps increase efficiency and reduce manual overhead. Why it matters: With the introduction of the MCP standard, connecting AI agents with data sources became essential. The official MongoDB MCP Server empowers developers and strengthens MongoDB’s foundational data layer for the new era of agentic software development. We are committed to AI-powered development by providing a direct bridge between the core data layer and the AI ecosystem. How to get started: Click the documentation link below for a step-by-step guide to get started, or go directly to the GitHub link. AI-powered tooling https://www.mongodb.com/products/updates/public-preview-mongodb-community-edition-now-offers-native-full-text-and-vector-search https://www.mongodb.com/products/updates/public-preview-mongodb-community-edition-now-offers-native-full-text-and-vector-search Wed, 17 Sep 2025 00:00:00 GMT What it is: MongoDB now offers native full-text search and vector search capabilities in the source-available, free-to-use Community Edition. This public preview allows developers to build advanced search and AI-driven features like autocomplete, semantic retrieval, and hybrid search in their self-managed environments. These capabilities operate on a separate binary, mongot, that keeps indexes in sync through MongoDB Change Streams. With search and vector search capabilities integrated in Community Edition, developers can prototype and test powerful applications without needing an external search engine or vector database. Who it’s for: This is for developers, DBAs, and startups who use MongoDB Community Edition and want to build and test modern, AI-driven features in their self-managed environments without operational overhead and the synchronization tax of managing a separate search stack. Why it matters: By embedding full-text search and vector search capabilities into Community Edition, MongoDB simplifies data architecture, reduces costs, and accelerates development cycles. Developers can focus on building modern, innovative applications rather than managing additional infrastructure. Please note: this preview is intended for development and evaluation only (not production). For best performance, deploy search components on dedicated infrastructure. Once generally available, these capabilities will be licensed under the Server Side Public License (SSPL). How to get started: Click the documentation link below for a step-by-step guide on how to get started with search and vector search in MongoDB Community Edition. Developer Acceleration MongoDB Community Edition Vector Search Full-text Search Hybrid Search https://www.mongodb.com/products/updates/queryable-encryption-now-supports-prefix-suffix-substring-queries-in-public-preview https://www.mongodb.com/products/updates/queryable-encryption-now-supports-prefix-suffix-substring-queries-in-public-preview Wed, 17 Sep 2025 00:00:00 GMT What it is: MongoDB is expanding the power of Queryable Encryption by introducing support for prefix, suffix, and substring queries. Now in public preview, these capabilities extend the technology beyond equality and range queries, unlocking broader use cases for secure, expressive search on encrypted data. Who it's for: Queryable Encryption is for business leaders and developers alike. For business leaders, Queryable Encryption strengthens data protection, supports compliance requirements, and reduces the risk of data exposure. This helps safeguard reputation, avoid costly fines, and eliminate the need for complex third-party solutions. For developers, advanced encrypted search is built directly into MongoDB’s query language. This eliminates the need for code changes, external indexes, or client-side workarounds while simplifying architectures and reducing overhead. Why it matters: This release provides organizations with the tools to perform flexible text searches on encrypted data, such as matching partial names, keywords, or identifiers, without ever exposing the underlying information. This helps strengthen data protection, simplify compliance, and remove the need for complex workarounds such as external search indexes, all without any changes to the application code. How to get started: To learn more about Queryable Encryption and how it works, explore the Features documentation page. To get started using Queryable Encryption, read the Quick Start Guide. Security MongoDB Atlas MongoDB Community Edition MongoDB Enterprise Advanced https://www.mongodb.com/products/updates/public-preview-mongodb-native-hybrid-search-with-scorefusion https://www.mongodb.com/products/updates/public-preview-mongodb-native-hybrid-search-with-scorefusion Tue, 16 Sep 2025 19:09:28 GMT Announcing the new $scoreFusion aggregation stage (now in public preview), a new customizable approach that normalizes and combines scores via weighted average. Together with $rankFusion, learn how to leverage MongoDB’s native hybrid search capability to deliver more accurate, contextual results and improve your user experiences. Data Services MongoDB Atlas MongoDB Community Edition MongoDB Enterprise Advanced MongoDB Atlas Search Hybrid Search Vector Search Full-text Search https://www.mongodb.com/products/updates/longer-lifecycles-for-mongodb-7-0-and-8-0 https://www.mongodb.com/products/updates/longer-lifecycles-for-mongodb-7-0-and-8-0 Tue, 16 Sep 2025 18:11:05 GMT What it is: The end of life dates for MongoDB 7.0 and 8.0 have been extended from 3 years to 4 years for 7.0 and 5 years for 8.0 and future major versions. Who it’s for: All developers using MongoDB 7.0 or 8.0. Why it matters: This will let developers stay on the version they prefer for longer and have more flexibility in their upgrade schedule. How to get started: Check out the lifecyle schedule to see the new dates. Compliance MongoDB Atlas MongoDB Community Edition MongoDB Enterprise Advanced https://www.mongodb.com/products/updates/mongodb-8-2-is-now-available https://www.mongodb.com/products/updates/mongodb-8-2-is-now-available Tue, 16 Sep 2025 17:53:38 GMT What it is: MongoDB 8.2 is the latest minor version of MongoDB and introduces public previews for new capabilities in Search, Vector Search, Hybrid Search, and Queryable Encryption. Public previews provide developers with the ability to try the latest MongoDB features before they are generally available. Please keep in mind that features in public preview should be used for testing, evaluation, and feedback purposes and are not recommended for live clusters in production. These public previews are available as part of MongoDB 8.2: Search and Vector Search capabilities for use with Community Edition and Enterprise Server New query types for Queryable Encryption (prefix, suffix, and substring) $scoreFusion aggregation stage now available for Hybrid Search Who it’s for: MongoDB 8.2 is the first minor release to be made available for MongoDB Community Edition and MongoDB Enterprise Server in addition to MongoDB Atlas. It is for developers who are interested in trying the latest features in their environments. Why it matters: MongoDB 8.2 brings capabilities previously only found in MongoDB Atlas to self-managed environments. This helps provide a consistent experience across environments, ensure compliance, and simplify the architecture stack. It also enhances key capabilities like Queryable Encryption and Hybrid Search with new features. How to get started: You can get started with MongoDB 8.2 by downloading Community Server and Enterprise Server or by signing up for a free MongoDB Atlas with the links below. Security Data Services Developer Acceleration Compliance MongoDB Atlas MongoDB Community Edition MongoDB Enterprise Advanced MongoDB Atlas Search Vector Search Full-text Search Hybrid Search https://www.mongodb.com/products/updates/public-preview-search-vector-search-for-use-with-mongodb-enterprise-server https://www.mongodb.com/products/updates/public-preview-search-vector-search-for-use-with-mongodb-enterprise-server Tue, 16 Sep 2025 17:39:47 GMT What it is: MongoDB now offers native full-text search and vector search capabilities for use with MongoDB Enterprise Server. This public preview allows developers to build advanced search and AI-driven features like autocomplete, semantic retrieval, and hybrid search in their self-managed environments. With search and vector search capabilities working with Enterprise Server, teams can take the proven search capabilities of MongoDB Atlas and run them on-premises or in private and hybrid clouds. Who it’s for: This is for developers, DBAs, and startups who use MongoDB Enterprise Server and want to build and test modern, AI-driven features in their self-managed environments without operational overhead and the synchronization tax of managing a separate search stack. Why it matters: By embedding full-text search and vector search capabilities with Enterprise Server, MongoDB simplifies data architecture, reduces costs, and accelerates development cycles. Developers can focus on building modern, innovative applications rather than managing additional infrastructure. Please note: this preview is intended for testing and evaluation only (not production). How to get started: Click the documentation link below for a step-by-step guide on how to get started with search and vector search for use with MongoDB Enterprise Server. You can also read the overview blog for more information. Data Services Developer Acceleration Compliance MongoDB Enterprise Advanced Kubernetes Operator (Enterprise & Atlas) Ops Manager Cloud Manager Full-text Search Vector Search Hybrid Search https://www.mongodb.com/products/updates/mongodb-sql-interface-for-enterprise-advanced-now-generally-available https://www.mongodb.com/products/updates/mongodb-sql-interface-for-enterprise-advanced-now-generally-available Tue, 16 Sep 2025 16:47:50 GMT What it is: SQL Interface for Enterprise Advanced provides direct SQL connectivity to self-managed MongoDB deployments through standard ODBC and JDBC connections. It uses the SQL Schema Builder CLI to generate comprehensive JSON schemas and translates SQL queries into MongoDB operations in real-time. Who it's for: This is built for data analysts, data scientists, and data engineers who are SQL experts but need access to MongoDB data. It's designed for teams running self-managed MongoDB deployments who want to avoid learning MQL or building custom ETL pipelines. Why it matters: SQL Interface eliminates the friction between SQL expertise and MongoDB's document model. Teams can leverage their existing skills and tools to access live MongoDB data without maintaining ETL processes or dealing with outdated information. This enables self-service analytics and faster decision-making while preserving operational workflows. How to get started: Check out the link to our documentation below for configuration options and best practices, or head over to the Download Center to get the SQL Schema Builder CLI and drivers for your deployment. Data Services MongoDB Enterprise Advanced SQL Interface https://www.mongodb.com/products/updates/mongodb-application-modernization-platform-amp-now-available https://www.mongodb.com/products/updates/mongodb-application-modernization-platform-amp-now-available Tue, 16 Sep 2025 00:00:00 GMT What it is: MongoDB AMP (Application Modernization Platform) is a powerful combination of AI-powered tools, a proven framework, and experienced delivery engineers that helps organizations transform critical legacy applications. This isn't just a simple database migration; it's a full-stack modernization solution that revitalizes outdated user interfaces, refactors monolithic architectures into scalable microservices, and modernizes data infrastructure with MongoDB's flexible document model. Who it's for: MongoDB AMP is for business and technology leaders who are weighed down by legacy applications that drain budgets, stifle innovation, and create security risks. It's also for engineering teams struggling to maintain outdated applications that are difficult to enhance or adapt for modern use cases like generative AI. Why it matters: Modernization projects are often expensive, time-consuming, and risky. MongoDB AMP offers an accelerated approach that can reduce manual effort and deliver results up to 10 times faster than traditional methods, freeing up your team to focus on innovation instead of maintenance. This positions MongoDB as a strategic partner in modernization, helping you unlock new opportunities and build a future-ready, AI-powered foundation. How to get started: To learn more about how AMP can accelerate your modernization journey, contact your MongoDB account representative or visit the MongoDB website to connect with an expert. https://www.mongodb.com/products/updates/django-mongodb-backend-now-generally-available https://www.mongodb.com/products/updates/django-mongodb-backend-now-generally-available Tue, 02 Sep 2025 20:07:53 GMT The Django MongoDB Backend provides the best way to integrate MongoDB into Django projects, allowing developers to use familiar Django libraries and conventions while still getting the flexibility of MongoDB’s document model on a scalable, cloud-agnostic platform. MongoDB Atlas https://www.mongodb.com/products/updates/right-size-your-search-save-announcing-storage-optimized-nodes https://www.mongodb.com/products/updates/right-size-your-search-save-announcing-storage-optimized-nodes Tue, 12 Aug 2025 16:06:38 GMT Stop overpaying for compute just to get more storage. We're introducing storage-optimized search nodes for Atlas Search and Vector Search. This is a cost-effective solution for when your index size is the primary concern, not query load. Learn how to right-size your deployment for your workload. MongoDB Atlas Search Vector Search https://www.mongodb.com/products/updates/scale-performance-with-view-support-for-mongodb-atlas-search-and-vector-search https://www.mongodb.com/products/updates/scale-performance-with-view-support-for-mongodb-atlas-search-and-vector-search Thu, 07 Aug 2025 15:27:14 GMT We're excited to announce that View Support is now generally available for MongoDB Atlas Search and Vector Search, giving you precise control over your indexing strategy. Use powerful pre-indexing optimizations like Partial Indexing and Document Transformation to build more efficient, performant, and cost-effective search experiences at scale. MongoDB Atlas Search Vector Search https://www.mongodb.com/products/updates/now-ga-mongodb-atlas-is-available-as-a-microsoft-azure-native-integration https://www.mongodb.com/products/updates/now-ga-mongodb-atlas-is-available-as-a-microsoft-azure-native-integration Thu, 31 Jul 2025 16:00:00 GMT MongoDB Atlas is now generally available as a Microsoft Azure Native Integration (ANI), enabling customers to seamlessly create and manage Atlas deployments directly within the Azure portal. With unified billing, integrated identity and access controls, and streamlined provisioning, organizations can now treat MongoDB Atlas as a first-party Azure service, accelerating the development of modern, AI-powered applications while reducing operational complexity. MongoDB Atlas https://www.mongodb.com/products/updates/atlas-stream-processing-now-available-in-google-cloud-platform-gcp https://www.mongodb.com/products/updates/atlas-stream-processing-now-available-in-google-cloud-platform-gcp Fri, 25 Jul 2025 18:03:43 GMT This expansion enables developers to deploy Atlas Stream Processing directly in Google Cloud, unlocking new regional options for real-time data processing and providing seamless integration within the GCP infrastructure. Atlas Stream Processing https://www.mongodb.com/products/updates/public-preview-multimodal-search-library-for-python https://www.mongodb.com/products/updates/public-preview-multimodal-search-library-for-python Thu, 17 Jul 2025 00:24:09 GMT What it is: The Multimodal Search Library is a Python package that enables developers to build intelligent search experiences using both text and image data. It seamlessly integrates Atlas Vector Search, S3-hosted files, and Voyage AI’s multimodal embedding model into a single, easy-to-use toolkit for rapid experimentation and development. Who is it for: This library is designed for developers building AI applications that need to understand and retrieve content from PDFs, charts, tables, and other visually rich documents. It’s useful for teams working with multimodal data who want to avoid building custom pipelines from scratch. Why it matters: Multimodal data, which combines information from formats like text and images, introduces challenges like embedding generation, chunking strategies, and file management. This library streamlines these workflows, enabling developers to efficiently build AI-powered search experiences with less complexity and minimal setup. How to get started: Visit the announcement blog for an overview and quick start guide. MongoDB Atlas Voyage AI by MongoDB Vector Search Embedding Models https://www.mongodb.com/products/updates/chatbot-demo-builder-now-available-in-the-atlas-search-playground https://www.mongodb.com/products/updates/chatbot-demo-builder-now-available-in-the-atlas-search-playground Thu, 10 Jul 2025 00:28:59 GMT What it is: The Chatbot Demo Builder is a no-code tool in the Atlas Search Playground that lets developers explore Retrieval-Augmented Generation (RAG) and vector search by building interactive Q&A chatbots using sample or custom data. It runs directly in the browser—no setup or login required. Who is it for: This resource was built for developers new to vector search, looking for a fast, hands-on way to test retrieval techniques, learn how RAG works, and see how MongoDB powers semantic and generative AI use cases. Why it matters: The Chatbot Demo Builder removes the friction of configuring indexes, writing queries, or generating embeddings manually. It provides an intuitive, guided environment for experimenting with vector search and RAG workflows, helping teams prototype AI-powered applications faster, all without prior MongoDB or AI infrastructure experience. How to get started: Open the Atlas Search Playground in your browser to try the Chatbot Demo Builder, or visit the docs to learn more about Atlas Search Playground tools. MongoDB Atlas Vector Search https://www.mongodb.com/products/updates/atlas-stream-processing-now-supports-external-functions https://www.mongodb.com/products/updates/atlas-stream-processing-now-supports-external-functions Thu, 03 Jul 2025 17:12:12 GMT External Functions enable developers to connect to AWS Lambda in an Atlas Stream Processor, unlocking new ways to enrich, validate, and transform data in-flight, enabling smarter and more modular event-driven applications Atlas Stream Processing https://www.mongodb.com/products/updates/query-shape-insights-in-mongodb-atlas-now-available https://www.mongodb.com/products/updates/query-shape-insights-in-mongodb-atlas-now-available Thu, 03 Jul 2025 00:33:45 GMT What it is: Query Shape Insights makes it easier to identify and resolve performance issues by automatically capturing query patterns in MongoDB Atlas. Instead of parsing large log files, developers can analyze shape-level metrics to pinpoint slow or inefficient queries and optimize workloads faster. Who it is for: Query Shape Insights is ideal for developers and database administrators (DBAs) who need continuous visibility into query behavior without relying on manual log parsing or third-party tools. Why it matters: Query Shape Insights offers a high-resolution, holistic view of how queries behave at scale across clusters. It helps teams monitor evolving workloads, detect regressions early, and troubleshoot distributed applications more efficiently—all directly within MongoDB Atlas. How to get started: Refer to our documentation below for guidance on accessing and filtering insights to get the most out of your diagnostics data. Observability MongoDB Atlas Query Insights https://www.mongodb.com/products/updates/public-preview-native-hybrid-search-in-mongodb-atlas-with-rankfusion https://www.mongodb.com/products/updates/public-preview-native-hybrid-search-in-mongodb-atlas-with-rankfusion Wed, 25 Jun 2025 15:45:00 GMT Introducing MongoDB's seamless, native hybrid search capability powered by the new $rankFusion aggregation stage. You can now combine keyword and semantic search with ease, delivering highly contextual, intelligent retrieval for advanced search and gen AI applications, all within a single database. MongoDB Atlas Search Vector Search https://www.mongodb.com/products/updates/mongodb-8-1-server-now-generally-available https://www.mongodb.com/products/updates/mongodb-8-1-server-now-generally-available Sat, 21 Jun 2025 00:41:12 GMT What it is: MongoDB 8.1 is a rapid server release following the major launch of MongoDB 8.0. This version introduces broad enhancements across aggregation, security, performance, query settings and statistics, and hybrid search, continuing to refine the developer experience and expand in-database capabilities. Who it is for: MongoDB 8.1 is available exclusively for MongoDB Atlas users. Customers running on-premises deployments should continue using MongoDB 8.0, the latest long-term supported release for self-managed environments. Why it matters: MongoDB 8.1 delivers faster performance, simplified hybrid search, and richer querying flexibility, allowing teams to perform complex data transformations directly within the database engine. By removing the need for external tools or ETL pipelines, developers can accelerate application development, reduce architectural overhead, and deliver adaptive, search-driven experiences more efficiently. MongoDB Atlas https://www.mongodb.com/products/updates/support-for-lookup-in-queryable-encryption-now-available https://www.mongodb.com/products/updates/support-for-lookup-in-queryable-encryption-now-available Sat, 21 Jun 2025 00:38:08 GMT What it is: MongoDB now supports the $lookup operation for collections using client-side encryption, including Queryable Encryption (QE) and its predecessor, Client-Side Field-Level Encryption (CSFLE). This update allows secure joins between encrypted collections within aggregation pipelines. Who is it for: $lookup support in Queryable Encryption is available with the MongoDB 8.1 server release, exclusive to Atlas users. This capability is designed for organizations that handle sensitive or regulated data and require strong encryption without limiting analytical or operational queries. Why it matters: Adding $lookup support to Queryable Encryption allows teams to perform secure, privacy-preserving joins—unlocking new use cases in finance, healthcare, and government where data confidentiality is critical. It helps enterprises expand encrypted workloads confidently without sacrificing query power or performance. How to get started: Refer to our release notes to get started with MongoDB 8.1. To install the latest version of MongoDB supported for on-premises use, follow the MongoDB 8.0 installation instructions below. Security MongoDB Atlas https://www.mongodb.com/products/updates/now-ga-enterprise-advanced-now-supports-cohesity-rubrik-backup-integrations https://www.mongodb.com/products/updates/now-ga-enterprise-advanced-now-supports-cohesity-rubrik-backup-integrations Wed, 18 Jun 2025 15:00:00 GMT Enterprise Advanced now offers built-in support for Cohesity and Rubrik backup integrations. This release makes it easier for organizations to centralize and streamline their data protection workflows using the enterprise-grade backup solutions they already rely on. With native integration support, teams can automate backup operations, enhance compliance, and simplify data recovery processes across their MongoDB deployments. Durability MongoDB Enterprise Advanced https://www.mongodb.com/products/updates/public-preview-mongodb-for-intellij-plugin https://www.mongodb.com/products/updates/public-preview-mongodb-for-intellij-plugin Wed, 18 Jun 2025 00:31:38 GMT What it is: MongoDB has launched a new IntelliJ Plugin to streamline Java development directly within IntelliJ IDEA. The plugin enables developers to write queries faster, auto-generate collection models, and reduce code errors—all without leaving their IDE. Who is it for: MongoDB for IntelliJ is a plugin for Java developers using MongoDB. This plugin provides seamless integration with IntelliJ IDEA. It simplifies debugging by allowing developers to run Java queries directly in the MongoDB console within IntelliJ, eliminating the need to translate queries into JavaScript or switch between tools. Why it matters: The MongoDB IntelliJ Plugin enhances database-to-IDE integration, making workflows smoother and more efficient. By minimizing context switching and streamlining query development, it helps teams increase productivity and speed up application delivery. How to get started: Install the MongoDB IntelliJ Plugin from the JetBrains Marketplace and refer to the documentation linked below. Developer Tooling Developer Acceleration https://www.mongodb.com/products/updates/changes-to-atlas-charts-pricing https://www.mongodb.com/products/updates/changes-to-atlas-charts-pricing Mon, 02 Jun 2025 17:15:05 GMT Full Charts Access for Atlas Dedicated Clusters As of June 2, 2025, Atlas Charts is now included at no extra cost on all dedicated Atlas clusters, including Flex clusters. This provides full access to the complete Charts experience, including unlimited refreshes and scheduled reports, and upcoming feature releases.The New Free TierFor M0 clusters, a new Free Charts tier is now available, with the following limitations:Dashboards refresh automatically every 4 hoursOne scheduled report per project, per weekRefresh limits apply to embedded charts These changes do not affect the number of users, dashboards, or charts you can create in the Chart builder or Natural Language Mode. Embedded charts and dashboard sharing also remain fully available. Atlas Charts https://www.mongodb.com/products/updates/now-public-preview-new-data-management-experience-in-the-atlas-ui https://www.mongodb.com/products/updates/now-public-preview-new-data-management-experience-in-the-atlas-ui Wed, 28 May 2025 15:23:31 GMT MongoDB is introducing an updated interface for Data Explorer, a tool that allows for data interaction right within the Atlas UI. This new Data Explorer experience empowers developers to view and understand their data and test and optimize queries directly within the browser, streamlining application development and enriching data management processes. https://www.mongodb.com/products/updates/new-atlas-is-now-a-part-of-mongodb-s-bug-bounty-program https://www.mongodb.com/products/updates/new-atlas-is-now-a-part-of-mongodb-s-bug-bounty-program Tue, 27 May 2025 18:11:37 GMT MongoDB’s public bug bounty program now includes the free tier of MongoDB Atlas. Security researchers can submit reports for Atlas Free Tier through HackerOne, helping MongoDB identify and address potential vulnerabilities earlier in the development lifecycle. This expansion reinforces MongoDB’s commitment to proactive security and continuous improvement of its cloud offerings. Security https://www.mongodb.com/products/updates/mongodb-atlas-as-an-azure-native-integration-now-available https://www.mongodb.com/products/updates/mongodb-atlas-as-an-azure-native-integration-now-available Thu, 15 May 2025 00:30:18 GMT What it is: MongoDB Atlas is now available as an Azure Native Integration. This integration allows Azure customers to create, configure, and manage Atlas organizations directly within their Azure subscription, bringing MongoDB Atlas into the Azure ecosystem for a unified operational experience. Who is it for: This integration is for Azure customers and platform teams. It offers seamless onboarding, provisioning, billing, and management of MongoDB Atlas within their existing Azure-native workflows and governance frameworks. Why it matters: This integration aligns with Azure users' existing workflows, reducing deployment challenges and speeding up value realization. It also facilitates cost consolidation, enabling teams to oversee MongoDB Atlas usage and billing via a single, centralized Azure process. This ultimately simplifies procurement and expense tracking. How to get started: Access MongoDB Atlas directly through the Azure Marketplace and refer to the documentation below. MongoDB Atlas https://www.mongodb.com/products/updates/now-ga-graphrag-with-mongodb-atlas-and-langchain https://www.mongodb.com/products/updates/now-ga-graphrag-with-mongodb-atlas-and-langchain Tue, 13 May 2025 15:00:00 GMT Now GA: The GraphRAG integration with MongoDB Atlas and LangChain combines a knowledge graph with LLMs to improve relationship understanding and reasoning. This results in more accurate and trustworthy outcomes in retrieval-augmented generation (RAG). https://www.mongodb.com/products/updates/public-preview-pre-migration-analysis-for-relational-migrator https://www.mongodb.com/products/updates/public-preview-pre-migration-analysis-for-relational-migrator Tue, 13 May 2025 00:32:35 GMT What it is: Pre-Migration Analysis is a new capability in MongoDB Relational Migrator that automates the migration assessment process—a key first step in evaluating the feasibility of moving from relational databases to MongoDB. Using advanced algorithms, it analyzes source schemas, detects potential data and configuration risks, and generates tailored recommendations to streamline migration planning. Who is it for: This feature is for full-stack developers, engineering directors, and database migration leads. Pre-migration analysis simplifies the early stages of migration by providing actionable insights before any data movement begins. Why it matters: Planning a database migration can be complex and time-consuming. Pre-Migration Analysis removes guesswork by delivering a clear, automated assessment that helps teams identify challenges early, minimize disruption to business operations, and migrate workloads more efficiently. How to get started: To get started, download Relational Migrator from our webpage and read our documentation to learn more. MongoDB Relational Migrator https://www.mongodb.com/products/updates/announcing-the-mongodb-mcp-server-public-preview https://www.mongodb.com/products/updates/announcing-the-mongodb-mcp-server-public-preview Thu, 01 May 2025 15:00:29 GMT The MongoDB MCP Server connects your MongoDB deployments (Atlas, Community, Enterprise) to AI clients such as Windsurf, Cursor, VS Code, and Claude Desktop using the emerging Model Context Protocol (MCP). It enables natural language interaction within your AI code editors for data exploration, database management, and context-aware code generation. https://www.mongodb.com/products/updates/azure-private-link-support-for-confluent-kafka-in-atlas-stream-processing-now-available https://www.mongodb.com/products/updates/azure-private-link-support-for-confluent-kafka-in-atlas-stream-processing-now-available Thu, 01 May 2025 00:44:09 GMT What it is: Azure Private Link support for Confluent Kafka provides a secure and private way to stream data into Atlas Stream Processing. This capability enables direct, private connectivity between Confluent Cloud and Atlas without exposing traffic to the public internet. Who is it for: This capability is ideal for data engineering and platform teams operating in Azure environments with strict security and compliance requirements. This integration helps simplify network architecture while maintaining end-to-end data privacy. Why it matters: By keeping all Kafka traffic within the Azure backbone network, organizations can reduce network complexity, minimize exposure risk, and strengthen data protection from the very start of their data pipelines. How to get started: Check out the documentation below for step-by-step instructions on setting up a Private Link connection between Confluent Kafka and Atlas Stream Processing on Azure. Security DevOps Tooling Compliance MongoDB Atlas https://www.mongodb.com/products/updates/vector-quantization-in-atlas-vector-search-now-generally-available https://www.mongodb.com/products/updates/vector-quantization-in-atlas-vector-search-now-generally-available Wed, 30 Apr 2025 00:44:47 GMT What it is: Vector quantization in Atlas Vector Search enables more efficient vector storage and ingestion with automatic, built-in processing. Developers can choose scalar or binary quantization with rescoring, reducing memory usage by up to 96% while maintaining high retrieval accuracy. Who is it for: These vector quantization capabilities are built for teams scaling AI, semantic search, and retrieval-augmented generation (RAG) workloads. This capability combines MongoDB’s flexible document model with optimized vector compression, delivering lower cost, faster performance, and easier scalability for advanced use cases. Why it matters: By compressing vector data with minimal accuracy loss, vector quantization makes search and AI workloads more cost-efficient and performant. Running natively in Atlas eliminates the need for external preprocessing pipelines, helping developers simplify deployments and scale confidently across environments. How to get started: Click the documentation link below for setup guidance, configuration options, and best practices for vector quantization usage in Atlas Vector Search. MongoDB Atlas Vector Search https://www.mongodb.com/products/updates/now-generally-available-automatic-quantization-in-atlas-vector-search https://www.mongodb.com/products/updates/now-generally-available-automatic-quantization-in-atlas-vector-search Tue, 29 Apr 2025 14:25:15 GMT Scaling applications to billions of vectors is now easier and more cost-effective. Implement scalar quantization and binary quantization with rescoring natively in Atlas Vector Search. Up to 96% memory reduction, high accuracy, and better query performance. Vector Search https://www.mongodb.com/products/updates/now-ga-atlas-resource-policies https://www.mongodb.com/products/updates/now-ga-atlas-resource-policies Mon, 14 Apr 2025 19:47:02 GMT Resource policies are now generally available in MongoDB Atlas. This release introduces seven new policies and a new graphical user interface (GUI) for creating and managing policies. These enhancements give organizations greater control over MongoDB Atlas configurations, simplifying security and compliance automation. Security https://www.mongodb.com/products/updates/use-mongodb-as-a-vector-store-for-langchaingo https://www.mongodb.com/products/updates/use-mongodb-as-a-vector-store-for-langchaingo Wed, 02 Apr 2025 20:57:04 GMT Go developers can now use MongoDB as a vector store for LangChainGo, a third-party port of the LangChain framework, simplifying building Go applications powered by large language models. https://www.mongodb.com/products/updates/now-ga-atlas-administration-api-access-for-service-accounts-via-oauth-2-0-with-atlas-as-the-identity-provider https://www.mongodb.com/products/updates/now-ga-atlas-administration-api-access-for-service-accounts-via-oauth-2-0-with-atlas-as-the-identity-provider Wed, 02 Apr 2025 10:00:00 GMT With MongoDB Atlas’ support for OAuth 2.0’s Service Accounts, you can take advantage of an optimized method of user access authentication. Service Accounts helps teams implement standardized and efficient workflows through automating the authentication processes, improving overall ease of use in managing access to Atlas. https://www.mongodb.com/products/updates/new-enhanced-security-multi-cloud-flexibility-in-mongodb-atlas https://www.mongodb.com/products/updates/new-enhanced-security-multi-cloud-flexibility-in-mongodb-atlas Thu, 27 Mar 2025 20:38:00 GMT MongoDB Atlas now offers Azure Private Link support for Atlas Data Federation, Online Archive, and Atlas SQL, ensuring private, secure connectivity while reducing exposure to security risks. Plus, Atlas Data Federation and Online Archive are now GA on GCP, enabling seamless querying across sources and cost-efficient data archiving. Atlas Online Archive Atlas Data Federation SQL Interface https://www.mongodb.com/products/updates/mongodb-ef-core-provider-now-supports-ef-core-9-0 https://www.mongodb.com/products/updates/mongodb-ef-core-provider-now-supports-ef-core-9-0 Tue, 11 Mar 2025 00:45:25 GMT What it is: The MongoDB Entity Framework (EF) Core Provider now supports EF Core 9.0, the latest version of Microsoft’s open-source object-relational mapper (ORM) for .NET. This update allows developers to interact with MongoDB using familiar .NET objects and programming patterns, simplifying database integration and development. Who is it for: The MongoDB EF Core Provider is for .NET developers who want to use MongoDB with the same ORM techniques they already know, including class-to-collection mapping, relationship handling, and LINQ queries. This makes it easier to integrate MongoDB into existing .NET projects and maintain consistent coding workflows. Why it matters: The MongoDB EF Core Provider bridges document-oriented and relational development models, enabling teams to work within a unified, familiar framework. Developers can now efficiently manage and query MongoDB data using EF Core 9.0 features, reducing context switching, streamlining workflows, and improving productivity. How to get started: Review the documentation below to learn how to use the MongoDB EF Core Provider with EF Core 9.0. https://www.mongodb.com/products/updates/multi-kubernetes-cluster-sharding-now-generally-available https://www.mongodb.com/products/updates/multi-kubernetes-cluster-sharding-now-generally-available Sat, 08 Mar 2025 00:53:22 GMT What it is: MongoDB’s Multi-Kubernetes Cluster Support now enables Enterprise Advanced customers to deploy replica sets, sharded clusters, and Ops Manager across multiple Kubernetes clusters. With sharded clusters now generally available, organizations can run a single MongoDB deployment that spans cloud regions, availability zones, and on-premises environments, delivering greater scalability and flexibility. Who is it for: Designed for platform engineering and operations teams running large-scale MongoDB environments, this capability helps manage resilient, distributed deployments across multiple Kubernetes clusters with consistent automation and control. Why it matters: By distributing shards and workloads across clusters closer to the users and systems that access them, organizations can reduce latency, improve performance, and enhance fault isolation—all while maintaining unified operations under Kubernetes. How to get started: To learn more, click the reference architecture resource for a fully tested, working example using popular Kubernetes tools, and explore our documentation for additional guidance. Availability Durability Performance Multi-cloud MongoDB Enterprise Advanced https://www.mongodb.com/products/updates/upcoming-security-update-mfa-is-becoming-mandatory https://www.mongodb.com/products/updates/upcoming-security-update-mfa-is-becoming-mandatory Tue, 04 Mar 2025 15:52:54 GMT On March 26, 2025, MongoDB will start rolling out mandatory multi-factor authentication (MFA) for MongoDB Atlas users. MongoDB is committed to delivering customers the highest level of security, and the introduction of mandatory MFA adds an extra layer of protection against unauthorized access to MongoDB Atlas. Security https://www.mongodb.com/products/updates/atlas-architecture-center-now-available https://www.mongodb.com/products/updates/atlas-architecture-center-now-available Tue, 04 Mar 2025 00:54:43 GMT What it is: The Atlas Architecture Center provides comprehensive guidance and best practices for designing, deploying, and running MongoDB Atlas at enterprise scale. It serves as a centralized resource for proven architectural patterns, design principles, and operational recommendations. Who is it for: Built for enterprise architects, platform engineers, and technology leaders, the Atlas Architecture Center offers a cohesive framework to help teams design Atlas deployments that meet their organization’s scale, security, and compliance requirements. Why it matters: This resource is structured around the Atlas Well-Architected Framework, which defines five key pillars—security, operational efficiency, performance, reliability, and cost optimization—to help enterprises confidently architect MongoDB Atlas environments that are scalable, resilient, and cost-effective. How to get started: Explore the Atlas Architecture Center to access detailed guidance, reference architectures, and best practices tailored to enterprise needs. Security Durability Availability Performance Compliance MongoDB Atlas https://www.mongodb.com/products/updates/now-available-vector-search-visual-index-builder https://www.mongodb.com/products/updates/now-available-vector-search-visual-index-builder Mon, 10 Feb 2025 18:00:00 GMT Build applications faster and easier with Atlas Vector Search. Our new graphical user interface (GUI) provides step-by-step guidance, letting you create vector indexes in seconds. Try the Visual Index Builder now. Vector Search https://www.mongodb.com/products/updates/now-in-public-preview-resource-policies-in-atlas https://www.mongodb.com/products/updates/now-in-public-preview-resource-policies-in-atlas Mon, 10 Feb 2025 16:41:16 GMT Resource policies empower enterprises to balance rapid innovation with robust security and compliance. Implement organization-wide rules that control how Atlas can be configured: Restrict Atlas clusters to approved cloud providers and specific regions Block the use of 0.0.0.0/0 (or “wildcard”) IP address for cluster access Security https://www.mongodb.com/products/updates/now-ga-mongodb-atlas-flex-tier https://www.mongodb.com/products/updates/now-ga-mongodb-atlas-flex-tier Thu, 06 Feb 2025 21:31:30 GMT Introducing Atlas Flex tier, an ideal combination of elasticity and predictable pricing, suitable for MVPs and application development and testing. The Atlas Flex tier empowers developers with: Flexibility: 100 ops/sec and 5 GB of storage are included by default, as is dynamic scaling of up to 500 ops/sec. Predictable pricing: Customers will be billed an $8 base fee and additional fees based on usage. And pricing is capped at $30 per month. This prevents runaway costs—a persistent challenge with serverless architectures. Data services: Customers can access various features such as MongoDB Atlas Search, MongoDB Atlas Vector Search, Change Streams, MongoDB Atlas Triggers, and more. This delivers a comprehensive solution for development and test environments.Seamless migration: Atlas Flex tier customers can transition to dedicated clusters when needed via the MongoDB Atlas UI or using the Admin API. The Atlas Flex tier integrates the benefits offered by the previously available shared tier and serverless tier clusters. MongoDB Atlas https://www.mongodb.com/products/updates/now-ga-gcp-support-for-atlas-online-archive https://www.mongodb.com/products/updates/now-ga-gcp-support-for-atlas-online-archive Thu, 06 Feb 2025 18:35:50 GMT Atlas Online Archive is now on GCP, making long-term data storage more efficient while keeping archived data accessible. Atlas Online Archive https://www.mongodb.com/products/updates/now-ga-gcp-support-for-atlas-data-federation https://www.mongodb.com/products/updates/now-ga-gcp-support-for-atlas-data-federation Thu, 06 Feb 2025 18:31:21 GMT Atlas Data Federation is now available on GCP, enabling seamless queries across cloud storage, and live databases. Atlas Data Federation https://www.mongodb.com/products/updates/try-the-django-mongodb-backend-public-preview https://www.mongodb.com/products/updates/try-the-django-mongodb-backend-public-preview Mon, 03 Feb 2025 18:49:17 GMT We’re excited to announce the public preview release of the Django MongoDB Backend, which aims to make Django and MongoDB work together seamlessly. We welcome your feedback as we work towards our GA release later in 2025. To get up and running quickly, try our quickstart guide! https://www.mongodb.com/products/updates/mongodb-go-driver-2-0-is-here-ready-for-production https://www.mongodb.com/products/updates/mongodb-go-driver-2-0-is-here-ready-for-production Tue, 28 Jan 2025 20:55:51 GMT We’re excited to announce the official release of MongoDB Go Driver 2.0! The release contains several enhancements, including a simplified Client Side Operations Timeout (CSOT) experience, OpenID Connect (OIDC) support, and cleaner Go code. Share your questions and feedback on our forums. https://www.mongodb.com/products/updates/now-available-new-atlas-user-roles https://www.mongodb.com/products/updates/now-available-new-atlas-user-roles Wed, 15 Jan 2025 18:24:40 GMT MongoDB Atlas now offers three new user roles to simplify permission management for common use cases. The Project Backup Manager, Project Observability Viewer, and Project Database Access Admin roles let users focus on managing database access, resiliency, and observability for the project, without granting access to manage infrastructure, configurations, or access data. Security MongoDB Atlas MongoDB Atlas for Government https://www.mongodb.com/products/updates/now-in-public-preview-automatic-quantization-in-atlas-vector-search https://www.mongodb.com/products/updates/now-in-public-preview-automatic-quantization-in-atlas-vector-search Thu, 12 Dec 2024 16:20:04 GMT Scaling applications to billions of vectors is now easier and more cost-effective with quantized vectors. Implement scalar quantization and binary quantization with rescoring natively in Atlas Vector Search. Up to 96% memory reduction, high accuracy, and better query performance. Vector Search https://www.mongodb.com/products/updates/atlas-stream-processing-now-supports-microsoft-azure https://www.mongodb.com/products/updates/atlas-stream-processing-now-supports-microsoft-azure Tue, 10 Dec 2024 22:22:43 GMT Atlas Stream Processing simplifies integrating MongoDB Atlas with Apache Kafka to build event-driven applications. Today, we're giving more developers the ability to take advantage of stream processing in their applications with support for deploying on Microsoft Azure. https://www.mongodb.com/products/updates/in-public-preview-atlas-administration-api-access-for-service-accounts-via-oauth-2-0-with-atlas-as-the-identity-provider https://www.mongodb.com/products/updates/in-public-preview-atlas-administration-api-access-for-service-accounts-via-oauth-2-0-with-atlas-as-the-identity-provider Wed, 30 Oct 2024 12:47:15 GMT With MongoDB Atlas’ support for OAuth 2.0’s Service Accounts, you can take advantage of an optimized method of user access authentication. Service Accounts helps teams implement standardized and efficient workflows through automating the authentication processes, improving overall ease of use in managing access to Atlas. https://www.mongodb.com/products/updates/download-backups-via-aws-privatelink https://www.mongodb.com/products/updates/download-backups-via-aws-privatelink Tue, 22 Oct 2024 03:23:00 GMT Atlas now supports the download of snapshot over the private endpoints in the same region as the snapshot, for Atlas clusters deployed on AWS. https://www.mongodb.com/products/updates/faster-cross-project-restores-in-aws https://www.mongodb.com/products/updates/faster-cross-project-restores-in-aws Tue, 22 Oct 2024 03:21:00 GMT Atlas customers can now enable efficient backup restores between projects in AWS by clicking the 'Faster Restores’ button on the Backup page. https://www.mongodb.com/products/updates/export-cloud-backup-snapshots-to-azure-blob-storage https://www.mongodb.com/products/updates/export-cloud-backup-snapshots-to-azure-blob-storage Tue, 22 Oct 2024 02:57:00 GMT Atlas now adds support to export your snapshots from any cloud provider to Azure Blob Storage using the Public API. https://www.mongodb.com/products/updates/now-available-cluster-level-performance-advisor https://www.mongodb.com/products/updates/now-available-cluster-level-performance-advisor Thu, 17 Oct 2024 15:59:00 GMT MongoDB Atlas’s enhanced cluster-level Performance Advisor helps optimize database performance by providing a holistic, cluster-centric view of index recommendations, simplifying management for large clusters. MongoDB Atlas https://www.mongodb.com/products/updates/now-available-atlas-resource-policies-arp-support-available-via-hashicorp-terraform-mongodb-atlas-provider https://www.mongodb.com/products/updates/now-available-atlas-resource-policies-arp-support-available-via-hashicorp-terraform-mongodb-atlas-provider Tue, 08 Oct 2024 10:00:00 GMT You can now manage Atlas Resource Policies in Public Preview with the new mongodbatlas_resource_policy resource and corresponding data sources available via the HashiCorp Terraform MongoDB Atlas Provider. https://www.mongodb.com/products/updates/generally-available-local-development-for-atlas-with-atlas-cli-and-docker https://www.mongodb.com/products/updates/generally-available-local-development-for-atlas-with-atlas-cli-and-docker Wed, 02 Oct 2024 17:00:43 GMT Use the MongoDB Atlas CLI and Docker to build with MongoDB Atlas in your preferred local environment and easily access features like Atlas Search and Atlas Vector Search throughout the entire software development lifecycle. Atlas CLI https://www.mongodb.com/products/updates/mongodb-8-0-is-now-available https://www.mongodb.com/products/updates/mongodb-8-0-is-now-available Wed, 02 Oct 2024 11:00:12 GMT MongoDB 8.0 has 32% higher throughput, improved horizontal scaling, expanded queryable encryption capabilities, and more. https://www.mongodb.com/products/updates/now-available-support-for-quantized-vector-ingestion https://www.mongodb.com/products/updates/now-available-support-for-quantized-vector-ingestion Wed, 02 Oct 2024 10:15:59 GMT Import and work with quantized vectors from your embedding model provider of choice, directly in Atlas Vector Search. Reduce storage, lower costs, and increase scale for AI and search applications. Vector Search https://www.mongodb.com/products/updates/announcing-multi-kubernetes-cluster-support-for-the-enterprise-kubernetes-operator https://www.mongodb.com/products/updates/announcing-multi-kubernetes-cluster-support-for-the-enterprise-kubernetes-operator Wed, 02 Oct 2024 10:00:00 GMT Using the Enterprise Kubernetes Operator, developers can deploy MongoDB replica sets, sharded clusters (in public preview) and Ops Manager to and across multiple Kubernetes clusters, sites, and geographical regions. Support for deploying sharded MongoDB clusters across multiple Kubernetes clusters will be available for general use in November. https://www.mongodb.com/products/updates/atlas-bi-connector-deprecation https://www.mongodb.com/products/updates/atlas-bi-connector-deprecation Wed, 11 Sep 2024 17:28:00 GMT If you are currently using the Atlas BI connector, transition to Atlas SQL to continue connecting directly to external intelligence tools. The Atlas BI Connector will be deprecated by June 2025. SQL Interface https://www.mongodb.com/products/updates/test-atlas-admin-apis-with-ease-using-postman https://www.mongodb.com/products/updates/test-atlas-admin-apis-with-ease-using-postman Tue, 03 Sep 2024 13:00:00 GMT MongoDB Atlas now has a dedicated Postman workspace that enables developers to test Atlas Admin APIs within minutes. Read documentation, view code examples and manage your Atlas clusters programmatically, all from this single resource. MongoDB Atlas https://www.mongodb.com/products/updates/new-in-mongodb-compass-multiple-connections-in-one-window https://www.mongodb.com/products/updates/new-in-mongodb-compass-multiple-connections-in-one-window Tue, 27 Aug 2024 15:41:00 GMT MongoDB Compass now enables connections to multiple deployments simultaneously, optimizing workflows by allowing navigation between different environments within a single Compass window. MongoDB Compass https://www.mongodb.com/products/updates/enhance-your-java-applications-with-mongodb-and-spring-ai https://www.mongodb.com/products/updates/enhance-your-java-applications-with-mongodb-and-spring-ai Mon, 26 Aug 2024 16:00:00 GMT Enhance your Java applications with AI capabilities using MongoDB's seamless integration with Spring AI, empowering you to build intelligent applications with ease and efficiency https://www.mongodb.com/products/updates/atlas-stream-processing-adds-aws-regions-vpc-peering-more https://www.mongodb.com/products/updates/atlas-stream-processing-adds-aws-regions-vpc-peering-more Wed, 07 Aug 2024 12:06:45 GMT Four new capabilities—additional AWS region support, VPC peering, Kafka key support, and improved stream processing support in the Atlas Admin API—open up more possibilities for developers to integrate Atlas Stream Processing into their applications. Atlas Stream Processing https://www.mongodb.com/products/updates/natural-language-mode-in-atlas-charts-now-generally-available https://www.mongodb.com/products/updates/natural-language-mode-in-atlas-charts-now-generally-available Mon, 29 Jul 2024 23:35:00 GMT Now generally available, MongoDB introduces user-friendly generative AI capabilities in Atlas Charts, enhancing developer productivity by enabling the creation of charts and dashboards using natural language. Atlas Charts https://www.mongodb.com/products/updates/mongodb-ai-applications-program-now-generally-available https://www.mongodb.com/products/updates/mongodb-ai-applications-program-now-generally-available Fri, 26 Jul 2024 16:34:04 GMT The MongoDB AI Applications Program (MAAP) helps organizations rapidly build and deploy modern applications enriched with AI technology at enterprise scale. https://www.mongodb.com/products/updates/elevate-your-python-ai-projects https://www.mongodb.com/products/updates/elevate-your-python-ai-projects Tue, 09 Jul 2024 14:01:01 GMT MongoDB is excited to announce our integration with Haystack, enhancing Atlas Vector Search for Python developers! This powerful combo provides cutting-edge tools for building AI applications with semantic search and LLMs. Start building smarter, more intuitive Python projects today! https://www.mongodb.com/products/updates/exact-nearest-neighbor-vector-search-is-now-available https://www.mongodb.com/products/updates/exact-nearest-neighbor-vector-search-is-now-available Thu, 20 Jun 2024 18:09:21 GMT Guarantees retrieval of the absolute closest vectors to the query, supporting small-scale, multi-tenant, and recall benchmarking use cases. MongoDB Atlas Search https://www.mongodb.com/products/updates/workforce-identity-federation-is-now-generally-available https://www.mongodb.com/products/updates/workforce-identity-federation-is-now-generally-available Wed, 05 Jun 2024 15:40:30 GMT Centralize identity and access management with existing Identity Management Systems. https://www.mongodb.com/products/updates/workload-identity-federation-is-now-generally-available https://www.mongodb.com/products/updates/workload-identity-federation-is-now-generally-available Wed, 05 Jun 2024 15:35:12 GMT Easily connect your workloads (applications) to MongoDB through Azure Managed Identities, GCP Service Accounts, or any platform that provides OAuth 2.0 tokens https://www.mongodb.com/products/updates/mongodb-provider-for-entity-framework-core-now-generally-available https://www.mongodb.com/products/updates/mongodb-provider-for-entity-framework-core-now-generally-available Fri, 03 May 2024 15:00:00 GMT C# developers can now use MongoDB in conjunction with Entity Framework Core to build modern applications. https://www.mongodb.com/products/updates/mongodb-ai-applications-program-coming-soon https://www.mongodb.com/products/updates/mongodb-ai-applications-program-coming-soon Thu, 02 May 2024 14:55:52 GMT Available in the coming months, the MongoDB AI Applications Program (MAAP) is designed to help organizations rapidly build and deploy applications enriched with generative AI technology. https://www.mongodb.com/products/updates/mongodb-8-0-coming-soon https://www.mongodb.com/products/updates/mongodb-8-0-coming-soon Thu, 02 May 2024 14:55:49 GMT MongoDB 8.0 will deliver improved performance, easier scalability and more ways to handle large usage spikes. https://www.mongodb.com/products/updates/atlas-charts-natural-language-mode-now-in-public-preview https://www.mongodb.com/products/updates/atlas-charts-natural-language-mode-now-in-public-preview Thu, 02 May 2024 14:55:45 GMT Now available in public preview, MongoDB has introduced easy-to-use generative AI capabilities in MongoDB Atlas Charts. This feature allows you to render charts and build dashboards using natural language. Atlas Charts https://www.mongodb.com/products/updates/query-insights-in-atlas-now-generally-available https://www.mongodb.com/products/updates/query-insights-in-atlas-now-generally-available Thu, 02 May 2024 14:55:34 GMT Atlas is introducing the new Query Insights tab, featuring Namespace Insights and an enhanced Query Profiler. With this more powerful query analysis tool and detailed namespace-level metrics, users can gain deeper insights into their database's performance, resulting in faster issue resolution and improved database performance. MongoDB Atlas Alerts https://www.mongodb.com/products/updates/atlas-stream-processing-now-generally-available https://www.mongodb.com/products/updates/atlas-stream-processing-now-generally-available Thu, 02 May 2024 14:55:01 GMT Atlas Stream Processing—the MongoDB-native way to process streaming data—is now generally available and ready for your production workloads! Atlas Stream Processing https://www.mongodb.com/products/updates/natural-language-queries-in-compass-now-generally-available https://www.mongodb.com/products/updates/natural-language-queries-in-compass-now-generally-available Thu, 02 May 2024 14:55:00 GMT The new AI-powered natural language query experience is generally available in MongoDB Compass. This feature lets you use natural language to generate executable MongoDB Query API syntax for everything from simple queries to sophisticated aggregations. Try it today! MongoDB Compass https://www.mongodb.com/products/updates/faster-cross-project-restores-in-atlas-backups-is-now-generally-available https://www.mongodb.com/products/updates/faster-cross-project-restores-in-atlas-backups-is-now-generally-available Thu, 02 May 2024 14:55:00 GMT For newly created clusters in MongoDB Atlas, you can now perform optimized restores when restoring a backup from one project to a cluster in a different project. Durability https://www.mongodb.com/products/updates/atlas-edge-server-is-now-in-public-preview https://www.mongodb.com/products/updates/atlas-edge-server-is-now-in-public-preview Thu, 02 May 2024 14:55:00 GMT Atlas Edge Server ensures that mission-critical applications and devices in both remote and local environments remain operational, even when networks are unstable. Starting today, any developer on Atlas can deploy and manage Edge Servers directly from the Atlas UI. https://www.mongodb.com/products/updates/now-in-public-preview-search-nodes-on-google-cloud https://www.mongodb.com/products/updates/now-in-public-preview-search-nodes-on-google-cloud Thu, 28 Mar 2024 13:10:21 GMT Search Nodes dedicated infrastructure for Atlas Search and Vector Search workloads: fully scale search independent of database needs, with better performance at scale, higher availability, and workload isolation. Availability MongoDB Atlas Search https://www.mongodb.com/products/updates/now-generally-available-azure-support-for-atlas-data-federation-and-online-archive https://www.mongodb.com/products/updates/now-generally-available-azure-support-for-atlas-data-federation-and-online-archive Thu, 29 Feb 2024 14:06:46 GMT Support for Atlas Data Federation and Online Archive on Azure is now Generally Available. Whether you're querying across MongoDB Atlas databases and cloud storage offerings, or archiving data at scale, our latest offerings ensure that your data strategy is seamless, efficient, and Azure-centric. Atlas Data Federation Atlas Online Archive https://www.mongodb.com/products/updates/introducing-resource-tagging-for-projects https://www.mongodb.com/products/updates/introducing-resource-tagging-for-projects Thu, 15 Feb 2024 17:00:31 GMT We are thrilled to announce that Atlas has now extended its tagging functionality to include projects in addition to deployments. This enhancement enables users to apply resource tags to projects, further enriching the way you can associate metadata with your cloud resources. MongoDB Atlas https://www.mongodb.com/products/updates/atlas-stream-processing-is-now-in-public-preview https://www.mongodb.com/products/updates/atlas-stream-processing-is-now-in-public-preview Tue, 13 Feb 2024 14:00:19 GMT Atlas Stream Processing is now in public preview and available for all developers on Atlas. Give it a try today to start continuously processing your streaming data using the MongoDB Query API and aggregation pipelines. Atlas Stream Processing https://www.mongodb.com/products/updates/introducing-mongodb-s-full-stack-fastapi-application-generator https://www.mongodb.com/products/updates/introducing-mongodb-s-full-stack-fastapi-application-generator Thu, 11 Jan 2024 14:05:59 GMT Elevate your web development with MongoDB's latest release of the Full Stack FastAPI App Generator. Use the App Generator to minimize your setup time for a production grade application, so you can get right to building with the power of FastAPI, React, and MongoDB. https://www.mongodb.com/products/updates/dedicated-search-nodes-infrastructure-and-vector-search-in-general-availability https://www.mongodb.com/products/updates/dedicated-search-nodes-infrastructure-and-vector-search-in-general-availability Mon, 04 Dec 2023 15:09:24 GMT MongoDB Atlas Search Nodes provide dedicated infrastructure to scale generative AI and relevance-based search workloads with Vector Search MongoDB Atlas Search https://www.mongodb.com/products/updates/atlas-data-federation-now-supports-openid-connect-authentication https://www.mongodb.com/products/updates/atlas-data-federation-now-supports-openid-connect-authentication Mon, 04 Dec 2023 14:05:00 GMT Atlas Data Federation now supports OpenID Connect (OIDC) authentication in public preview! Enjoy seamless and unified access to MongoDB cloud products. Learn more! Security Atlas Data Federation https://www.mongodb.com/products/updates/set-a-retention-policy-to-manage-older-data-lake-datasets https://www.mongodb.com/products/updates/set-a-retention-policy-to-manage-older-data-lake-datasets Thu, 16 Nov 2023 15:00:00 GMT Previously, Atlas Data Lake required a manual deletion of datasets. Now, you can set it and forget it—configure your retention policy once, and let Atlas Data Lake automatically delete older data, saving you time and reducing costs. https://www.mongodb.com/products/updates/new-official-github-action-and-official-docker-image-for-the-atlas-cli https://www.mongodb.com/products/updates/new-official-github-action-and-official-docker-image-for-the-atlas-cli Thu, 16 Nov 2023 01:12:17 GMT MongoDB has released an official GitHub Action as well as an official Docker image for the Atlas CLI. With these two new releases, you can easily use the Atlas CLI to build with Atlas while still working natively within your preferred CI/CD platforms. MongoDB Atlas Atlas CLI https://www.mongodb.com/products/updates/dark-mode-for-mongodb-atlas-now-available https://www.mongodb.com/products/updates/dark-mode-for-mongodb-atlas-now-available Wed, 15 Nov 2023 20:31:30 GMT You asked. We listened. It’s here—dark mode for MongoDB Atlas is now available. With dark mode, we enhance the accessibility of your experience, reduce eye strain and fatigue, and improve readability in low-light settings. Update your theme settings at any time under User Preferences. MongoDB Atlas https://www.mongodb.com/products/updates/mongodb-laravel-integration-now-officially-supported https://www.mongodb.com/products/updates/mongodb-laravel-integration-now-officially-supported Wed, 08 Nov 2023 16:48:00 GMT MongoDB has taken over the community-driven MongoDB integration for Laravel, making it a first-class citizen in our product portfolio. This means you can expect regular updates with improvements to the functionality, bug fixes, and compatibility with most recent Laravel and MongoDB releases. https://www.mongodb.com/products/updates/the-atlas-app-services-cli-is-now-generally-available https://www.mongodb.com/products/updates/the-atlas-app-services-cli-is-now-generally-available Fri, 03 Nov 2023 18:27:36 GMT Programmatically manage your Atlas App Services Apps from the command line with the new App Services CLI (atlas-app-services-cli). With this release, the realm-cli will now be in maintenance mode. We recommend users migrate to the new App Services CLI for access to the latest features. MongoDB Atlas https://www.mongodb.com/products/updates/create-and-customize-your-own-billing-dashboard-with-atlas-charts https://www.mongodb.com/products/updates/create-and-customize-your-own-billing-dashboard-with-atlas-charts Mon, 30 Oct 2023 14:00:00 GMT Manage your Atlas spend with a new out-of-the-box billing dashboard in Atlas Charts! Design your own unique dashboards with charts aligned to your optimization strategies for streamlined insights and sharing 📉. Atlas Charts https://www.mongodb.com/products/updates/available-now-search-nodes-dedicated-infrastructure https://www.mongodb.com/products/updates/available-now-search-nodes-dedicated-infrastructure Thu, 19 Oct 2023 13:00:36 GMT Search Nodes are dedicated infrastructure for Atlas Search and Vector Search workloads, allowing you to fully scale search independent of database needs, with better performance at scale, higher availability, and workload isolation. MongoDB Atlas Search https://www.mongodb.com/products/updates/mongodb-provider-for-entity-framework-core-now-available https://www.mongodb.com/products/updates/mongodb-provider-for-entity-framework-core-now-available Thu, 12 Oct 2023 23:46:00 GMT We have released in Public Preview the MongoDB Provider for Entity Framework Core, allowing C# developers to unlock the full power of MongoDB's developer data platform to build modern applications using familiar EF Core APIs and design patterns. https://www.mongodb.com/products/updates/realm-is-now-atlas-device-sdks https://www.mongodb.com/products/updates/realm-is-now-atlas-device-sdks Tue, 26 Sep 2023 20:19:53 GMT We’re renaming Realm to MongoDB Atlas Device SDKs. MongoDB will continue open source development of Realm as Atlas Device SDKs, and developers are free to use the project — with or without MongoDB Atlas — to build reactive mobile applications using the technology of their choice. https://www.mongodb.com/products/updates/introducing-atlas-for-the-edge https://www.mongodb.com/products/updates/introducing-atlas-for-the-edge Tue, 26 Sep 2023 20:10:11 GMT MongoDB Atlas for the Edge allows organizations to deploy applications anywhere, even in remote, traditionally disconnected locations — and keep data synchronized between edge devices, edge infrastructure, and the cloud — to enable data-rich, fault-tolerant, real-time application experiences. https://www.mongodb.com/products/updates/new-intelligent-features-in-compass-atlas-charts-and-relational-migrator https://www.mongodb.com/products/updates/new-intelligent-features-in-compass-atlas-charts-and-relational-migrator Tue, 26 Sep 2023 10:05:59 GMT MongoDB announced a range of innovations in its developer data platform, creating new, intelligent developer experiences in familiar tools like MongoDB Compass, Atlas Charts, Relational Migrator, and MongoDB Documentation that simplify and accelerate how developers build modern applications. MongoDB Compass MongoDB Relational Migrator https://www.mongodb.com/products/updates/new-local-experience-for-atlas-atlas-search-and-vector-search-with-the-atlas-cli https://www.mongodb.com/products/updates/new-local-experience-for-atlas-atlas-search-and-vector-search-with-the-atlas-cli Tue, 26 Sep 2023 10:05:40 GMT Developers can now develop locally with MongoDB Atlas deployments, including Atlas Search and Vector Search, using the Atlas CLI, making it simpler to create full-text search or AI-powered applications no matter your preferred environment for building with MongoDB. Atlas CLI MongoDB Atlas Search https://www.mongodb.com/products/updates/atlas-stream-processing-now-in-private-preview https://www.mongodb.com/products/updates/atlas-stream-processing-now-in-private-preview Tue, 26 Sep 2023 10:05:05 GMT Atlas Stream Processing is the MongoDB-native way to process streaming data, transforming the way developers build modern applications. We've started letting developers into the private preview! Atlas Stream Processing https://www.mongodb.com/products/updates/view-and-analyze-your-monthly-atlas-usage-with-cost-explorer https://www.mongodb.com/products/updates/view-and-analyze-your-monthly-atlas-usage-with-cost-explorer Thu, 14 Sep 2023 20:04:38 GMT With Cost Explorer, you can now easily view and analyze your MongoDB Atlas usage directly within the Atlas UI. The intuitive interface allows you to apply filters to view a breakdown of monthly usage by organization, project, clusters, and services to aid in reporting and forecasting. MongoDB Atlas https://www.mongodb.com/products/updates/resource-tags-in-billing-invoices-now-generally-available https://www.mongodb.com/products/updates/resource-tags-in-billing-invoices-now-generally-available Thu, 07 Sep 2023 16:06:21 GMT We are pleased to announce the availability of tags in billing invoice CSVs and Admin API operations. Leveraging tags within billing invoices you are empowered to categorize spending based on custom dimensions (such as cost center) and streamline financial reporting. MongoDB Atlas https://www.mongodb.com/products/updates/discover-what-s-new-in-atlas-charts https://www.mongodb.com/products/updates/discover-what-s-new-in-atlas-charts Mon, 28 Aug 2023 12:00:22 GMT The Charts team rolled out some powerful enhancements this summer – including more embedding SDK customizations, a candlestick chart type, an out-of-the-box Atlas billing dashboard, and more reliable query execution for your largest and most complex datasets! 🎁 Atlas Charts https://www.mongodb.com/products/updates/protect-your-sensitive-workloads-with-queryable-encryption https://www.mongodb.com/products/updates/protect-your-sensitive-workloads-with-queryable-encryption Tue, 15 Aug 2023 15:32:14 GMT MongoDB offers Queryable Encryption, which is an in-use encryption capability that enables an application to encrypt sensitive data from the client side, store the encrypted data in the MongoDB database, and run expressive queries on the encrypted data. It is designed by the pioneers of encrypted search with decades of research and experience in cryptography. Security MongoDB Atlas https://www.mongodb.com/products/updates/discover-what-s-new-in-mongodb-7-0 https://www.mongodb.com/products/updates/discover-what-s-new-in-mongodb-7-0 Tue, 15 Aug 2023 15:32:04 GMT Get ready for a game-changing experience with MongoDB 7.0! Discover a host of major improvements in Migrations, security, performance, and developer experience. Embrace the future with MongoDB 7.0's cutting-edge features! https://www.mongodb.com/products/updates/online-archive-is-now-supported-as-a-data-source-in-atlas-data-federation https://www.mongodb.com/products/updates/online-archive-is-now-supported-as-a-data-source-in-atlas-data-federation Thu, 03 Aug 2023 17:15:00 GMT Effortlessly pull data from your Online Archive and directly query it from your federated database instances, alongside other sources like Atlas clusters, Data Lake Datasets, Amazon S3, and Azure Blob Storage to experience greater access and flexibility with your data. Atlas Data Federation Atlas Online Archive https://www.mongodb.com/products/updates/atlas-stream-processing-private-preview-coming-soon https://www.mongodb.com/products/updates/atlas-stream-processing-private-preview-coming-soon Thu, 29 Jun 2023 20:35:04 GMT Atlas Stream Processing is redefining the experience for working with complex streams of high velocity, rapidly changing data, and unifying how developers work with data in motion and at rest. Atlas Stream Processing https://www.mongodb.com/products/updates/atlas-sql-interface-custom-connectors-and-drivers-now-generally-available https://www.mongodb.com/products/updates/atlas-sql-interface-custom-connectors-and-drivers-now-generally-available Thu, 22 Jun 2023 17:16:17 GMT MongoDB's Atlas SQL Interface is now Generally Available. Through updated JDBC and ODBC Drivers as well as Custom Connectors for Power BI and Tableau, seamlessly transform, analyze, and report on live application data directly from your SQL-based tool for insights in real-time. SQL Interface https://www.mongodb.com/products/updates/atlas-search-query-analytics-now-in-public-preview https://www.mongodb.com/products/updates/atlas-search-query-analytics-now-in-public-preview Thu, 22 Jun 2023 17:02:33 GMT Atlas Search Query Analytics helps you understand what users are searching for most frequently (top-performing) and which search queries return no results (top non-performing). Take action to optimize query results - boost promoted results, improve search navigation or filter relevant listings. MongoDB Atlas Search https://www.mongodb.com/products/updates/mongodb-atlas-vector-search-now-in-public-preview https://www.mongodb.com/products/updates/mongodb-atlas-vector-search-now-in-public-preview Thu, 22 Jun 2023 15:16:49 GMT Atlas Vector Search brings the operational database and vector store together in a single, unified, and fully managed platform, along with support integrations into large language models (LLMs), so you can easily build intelligent applications over any type of data. MongoDB Atlas Search https://www.mongodb.com/products/updates/mongodb-relational-migrator-now-generally-available https://www.mongodb.com/products/updates/mongodb-relational-migrator-now-generally-available Thu, 22 Jun 2023 15:15:49 GMT Migrate data from relational databases to MongoDB with confidence. Get schema recommendations based on your existing application, migrate data while transforming to your target schema, and generate code artifacts to accelerate application code updates. MongoDB Relational Migrator https://www.mongodb.com/products/updates/apply-tags-to-your-database-deployments https://www.mongodb.com/products/updates/apply-tags-to-your-database-deployments Thu, 22 Jun 2023 15:15:31 GMT Easily organize and manage your database deployments by tagging them in the Atlas UI, Atlas Administration API and the Atlas CLI. MongoDB Atlas https://www.mongodb.com/products/updates/aws-cloudformation-cdk-support https://www.mongodb.com/products/updates/aws-cloudformation-cdk-support Thu, 22 Jun 2023 15:15:18 GMT You can now provision infrastructure with CloudFormation through the AWS CDK with added language support for Python, Java, C#, GoLang, JavaScript and TypeScript. https://www.mongodb.com/products/updates/go-sdk-for-the-atlas-administrative-api https://www.mongodb.com/products/updates/go-sdk-for-the-atlas-administrative-api Thu, 22 Jun 2023 15:15:02 GMT The Atlas Admin API now offers a new Go SDK client. Get an improved experience when interacting with the versioned Atlas Admin API, including support for all endpoints, versioning support and early detection mechanisms. MongoDB Atlas https://www.mongodb.com/products/updates/versioned-atlas-administrative-api https://www.mongodb.com/products/updates/versioned-atlas-administrative-api Thu, 22 Jun 2023 15:14:47 GMT The Atlas Admin API now offers resource level versioning. Get a more predictable and consistent experience when handling API changes. MongoDB Atlas https://www.mongodb.com/products/updates/kotlin-driver-expanded-programming-language-support-for-server-side-kotlin https://www.mongodb.com/products/updates/kotlin-driver-expanded-programming-language-support-for-server-side-kotlin Thu, 22 Jun 2023 15:14:24 GMT The Kotlin Driver for MongoDB now allows developers to build highly-performant server-side applications on MongoDB using Kotlin. https://www.mongodb.com/products/updates/performance-improvements-for-online-archive https://www.mongodb.com/products/updates/performance-improvements-for-online-archive Thu, 15 Jun 2023 13:18:27 GMT New enhancements have been added to Online Archive, including performance improvements when querying the archive, and the ability to access out of the box archive metrics. MongoDB Atlas Atlas Online Archive https://www.mongodb.com/products/updates/changes-to-atlas-billing-data-access-coming-soon https://www.mongodb.com/products/updates/changes-to-atlas-billing-data-access-coming-soon Thu, 15 Jun 2023 13:16:08 GMT To enhance the privacy of billing information, we are introducing a new role called “Organization Billing Viewer”, now available in Atlas. Starting 7/12/23 users who require access to billing must be assigned the Organization Owner, Billing Admin, or Organization Billing Viewer roles. MongoDB Atlas https://www.mongodb.com/products/updates/deploy-atlas-in-new-regions-on-google-cloud-and-microsoft-azure https://www.mongodb.com/products/updates/deploy-atlas-in-new-regions-on-google-cloud-and-microsoft-azure Fri, 02 Jun 2023 16:17:09 GMT You can now deploy Atlas in five new Google Cloud regions including Tel Aviv, Turin, Doha, Ohio, and Dallas and one new Microsoft Azure region, Qatar. MongoDB Atlas https://www.mongodb.com/products/updates/access-atlas-app-services-with-a-private-endpoint-via-aws-privatelink https://www.mongodb.com/products/updates/access-atlas-app-services-with-a-private-endpoint-via-aws-privatelink Fri, 02 Jun 2023 15:56:46 GMT You can now connect to any Atlas App Services app that is deployed to a single AWS region with a private endpoint via AWS PrivateLink. Now available in preview. MongoDB Atlas https://www.mongodb.com/products/updates/vs-code-extension-now-generally-available https://www.mongodb.com/products/updates/vs-code-extension-now-generally-available Tue, 23 May 2023 19:10:35 GMT Try the MongoDB for VS Code Extension today! Now generally available, the extension lets you connect to your MongoDB Atlas database to work with your application code and your data side-by-side. The latest version comes with improved autocomplete and JavaScript playgrounds, among other features. MongoDB IDE Extensions https://www.mongodb.com/products/updates/easily-migrate-your-self-managed-mongodb-data-to-atlas-with-the-atlas-live-migration-service https://www.mongodb.com/products/updates/easily-migrate-your-self-managed-mongodb-data-to-atlas-with-the-atlas-live-migration-service Tue, 09 May 2023 13:00:15 GMT You can now migrate self-managed MongoDB deployments running MongoDB 6.0 and later into Atlas using a guided live migration in the Atlas UI. With Atlas Live Migration Service bringing your self-managed MongoDB instances to Atlas is faster and more resilient in cases of interruption during the migration process. MongoDB Atlas