We’re excited to announce the public preview of Index Advisor for Azure DocumentDB (with MongoDB Compatibility). It is a built-in AI powered performance tuning assistant that helps you understand slow queries, diagnose inefficiencies, and automatically generate optimized index recommendations.  With Index Advisor, you can quickly analyze query s...

Today, we're thrilled to announce a major update to the DocumentDB for VS Code extension that will make life easier for enterprise developers. With version 0.3, you can now connect to your Azure Cosmos DB for MongoDB (vCore) clusters using Microsoft Entra ID authentication.  For many organizations, using a central identity provider is a top secu...

We’re excited to announce general availability of DiskANN and Filtered Vector Search on Azure Cosmos DB for MongoDB (vCore), starting with M30 cluster tiers and above. You can now use these features in production to store and query vector embeddings directly alongside your operational data—efficiently and in one integrated vector database.  Di...

In applications such as personalized recommendations and scientific research, accurately identifying the closest data points to a given query is crucial. Traditional methods like Approximate Nearest Neighbor (ANN) search offer faster retrieval times by approximating results but may sacrifice accuracy, leading to potential errors in scenarios where ...

We’re excited to announce the preview of DiskANN vector indexing for vCore-based Azure Cosmos DB for MongoDB! This feature empowers you to perform efficient, low-latency searches on large vector datasets, making it perfect for scaling applications that depend on fast similarity searches—like recommendation engines, document retrieval, and AI insigh...

We’re excited to announce the public preview of the latest update to the Azure Databases Visual Studio Code extension, which brings the full power of Azure Cosmos DB to your favorite editor! This extension integrates a robust GUI right into Visual Studio Code, allowing you to connect, query, and manage your Azure Cosmos DB resources seamlessly. Thi...

The vCore-based Azure Cosmos DB for MongoDB unveils significant AI enhancements. The updated integrated vector database introduces groundbreaking features to elevate developers' management and interaction with data, promising faster, more scalable, and intuitive applications. HNSW Vector Index: Now Generally Available!  Azure Cosmos DB for Mo...

You can now use private endpoints for your Azure Cosmos DB for MongoDB vCore clusters to allow hosts on a virtual network (VNet) to securely access data over a Private Link. The cluster's private endpoint utilizes an IP address from the virtual network's address space, ensuring that traffic between hosts on the virtual network and the database n...

We’re thrilled to share the exciting news that the integrated vector database is now officially available to all users of Azure Cosmos DB for MongoDB vCore. This groundbreaking feature paves the way for a multitude of fresh opportunities in the realm of secure and resilient AI-driven applications while making Azure Cosmos DB for MongoDB vCore y...

We're thrilled to announce that following a successful public preview, Azure Cosmos DB for MongoDB vCore has officially launched and is now available for all users! This marks a significant achievement in our quest to provide our users with a robust, seamlessly integrated, and fully-managed database solution tailored for their MongoDB workloads.   ...