Azure Cosmos DB Blog
The latest news, updates and technical insights from the Azure Cosmos DB team
Latest posts
Microsoft DiskANN in Azure Cosmos DB Whitepaper
We are excited to publish a new whitepaper titled, Microsoft DiskANN in Azure Cosmos DB, where we examine the impressive capabilities of Microsoft DiskANN, a state-of-the-art indexing system designed for accurate and cost-efficient vector search at any scale. We start off with a review of key vector search and database concepts, then follow by describing Microsoft DiskANN and how it works. We conduct comparisons against other popular vector indexing algorithms on two datasets and demonstrate how Microsoft DiskANN requires up to 10x lower memory, which is critical to making vector search more cost-effective and...
Announcing Private Preview: VS Code Extension of vCore-based Azure Cosmos DB for MongoDB
Overview We're excited to introduce a new VS Code extension for vCore-based Azure Cosmos DB for MongoDB ! This tool allows users to connect, query, and manage vCore-based Azure Cosmos DB for MongoDB directly within VS Code, streamlining your workflow. Limited Private Preview We’re currently offering a limited private preview of the VSCode extension for vCore-based Azure Cosmos DB for MongoDB. Features Supported What to Expect As this is a private preview release, you might encounter some rough edges. But your feedback is crucial ...
Introducing New Storage Sizes for vCore-Based Azure Cosmos DB for MongoDB: Unlock More Capacity and Performance
We’re thrilled to announce the preview of new storage sizes for vCore-based Azure Cosmos DB for MongoDB, designed to provide more capacity and enhanced performance for your MongoDB workloads. Whether you’re managing large, complex datasets or high-throughput applications, these new storage tiers—8 TiB, 16 TiB, and 32 TiB per physical shard—offer the flexibility to scale effortlessly and optimize your MongoDB database operations. Expanded storage options: 8 TiB, 16 TiB, and 32 TiB per physical shard vCore-based Azure Cosmos DB for MongoDB now offers larger storage capacities per physical shard, with new tiers of...
Announcing Azure Cosmos DB Integration with LangChain.js!
Announcing Azure Cosmos DB Vector Store Integration with LangChain.js! We're simplifying AI app development by integrating Azure Cosmos DB's cost-effective and scalable vector search directly with LangChain.js! This powerful combination empowers JavaScript developers to efficiently manage fast and accurate data retrieval with Azure Cosmos DB's scalability and efficient vector search capabilities. This offers a powerful solution for developers aiming to leverage vector search capabilities in their applications. Azure Cosmos DB supports vector indexing and search, allowing for efficient handling of high-dimensiona...
Scale Your Database Workloads with Multishard Clusters in vCore-based Azure Cosmos DB for MongoDB
We’re excited to introduce significant enhancements to vCore-based Azure Cosmos DB for MongoDB with the release of multishard clusters preview, designed to take scalability and performance to the next level. This update brings several new capabilities that address the needs of demanding database workloads, making it easier than ever to manage large datasets and handle high-throughput applications. Increased number of physical shards vCore-based Azure Cosmos DB for MongoDB now allows you to expand your cluster beyond the previous limit of two physical shards, supporting up to five physical shards by default, wit...
Discover the New Azure Cosmos DB Samples Gallery!
We are thrilled to introduce the Azure Cosmos DB Samples Gallery —your ultimate destination for top-tier Azure Cosmos DB samples, technical guidance, and content created by both Microsoft and the community, including Azure OpenAI samples. Who is it for? Designed for developers and technical professionals, this gallery is an invaluable resource for both new and existing customers. What can you find? Explore a diverse array of content tailored for Azure Cosmos DB, including: Why use it? The gallery features intuitive filters to help you quickly find content related to AI app...
Announcing Private Preview: Read and Read/Write Privileges with Secondary Users for vCore-Based Azure Cosmos DB for MongoDB
 We are excited to announce the private preview of a new feature in vCore-based Azure Cosmos DB for MongoDB —Role-Based Access Control (RBAC) Integration for Secondary Users with Read/Read Write Privileges. This enhancement is designed to give organizations more granular control over their database security while maintaining the flexibility and performance that vCore-based Azure Cosmos DB for MongoDB is known for. What’s New? The vCore-based Azure Cosmos DB for MongoDB (vCore) now supports the integration of RBAC for secondary users with Read/Read Write privileges. This feature allows administr...
Announcing the GA of Dynamic Scaling (Per Region and Per Partition Autoscale)
We are excited to announce the GA of Azure Cosmos DB dynamic scaling – among multiple new features (Binary Encoding, Reserved Capacity) released recently to make your Azure Cosmos DB workloads even more cost efficient. Dynamic scaling is an enhancement to autoscale which provides cost optimization for nonuniform workloads. In the earlier version of autoscale, all partitions scaled uniformly based on the most active partition, which caused unnecessary scale-ups if only one or a few partitions were active. With this new feature, partitions and regions now scale independently, improving cost efficiency for non-unif...
Announcing Cost and Performance Improvements with Azure Cosmos DB’s Binary Encoding
We are excited to announce a significant enhancement to Azure Cosmos DB, bringing substantial cost savings and performance improvements to our users. The new binary encoding feature is now available for new containers and will soon be available for existing ones. What is Binary Encoding? Binary encoding converts JSON or other text-based data formats into a compact binary representation. Instead of storing data as human-readable text, it stores it as a sequence of bytes, which takes up less space and can be processed more quickly by computers. Key Benefits When will it be available Binary-encoding...