Showing archive results for 2024

We’re excited to announce new features for the Azure Cosmos DB integrated cache! The integrated cache is built into the dedicated gateway, and now there’s new ways to authenticate your requests. Security is top of mind for many organizations, and you can now use Role-Based Access Control (RBAC) with Microsoft Entra ID to authenticate to the dedicat...

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 d...

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 e...

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 th...

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 sca...

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...

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 ...

 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 per...

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...

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 form...