Showing category results for Azure Cosmos DB for NoSQL

We’re announcing new integrations between Azure Cosmos DB and the Azure AI ecosystem: the Azure AI Foundry Connection for Azure Cosmos DB and bring-your-own thread storage in Azure AI Agent Service. These capabilities make it easier for developers to build enterprise-ready agentic applications using their own data stored in Azure Cosmos DB. Azure ...

We’re thrilled to announce the latest refresh of Fabric Mirroring for Azure Cosmos DB, now available with several powerful new features that enhance your data analytics infrastructure. This update significantly improves the experience, making it easier than ever to replicate your Azure Cosmos DB data into OneLake in Microsoft Fabric—giving you more...

Vector search with Azure Cosmos DB  In Part 1 and Part 2 of this series, we explored vector search with Azure Cosmos DB and best practices for scaling it to 1 billion vector datasets while maintaining low query latency. In Part 3, we saw how we can create efficient sharded DiskANN indices for multi-tenant apps.  In Part 4, we’ll look at the eff...

Title: General Availability for Data API in vCore-based Azure Cosmos DB for MongoDB We’re excited to announce the general availability of the Data API for vCore-based Azure Cosmos DB for MongoDB! Overview The Data API is a RESTful HTTPS interface that enables developers to interact with their MongoDB data hosted in vCore-based Azure Cosmos DB...

If you're new to Azure Cosmos DB and looking to build applications with Python, you're in the right place. I’ve created a four-part video series designed to take you from the basics to practical, real-world querying techniques—no prior experience required. Whether you’re setting up your first database, learning how to model your data, or optimizing...

Introduction Azure Cosmos DB now includes Sharded DiskANN, a powerful capability that optimized for large-scale multitenant apps by splitting a DiskANN index into smaller, more performant pieces. When you specify a VectorIndexShardKey in your container’s indexing policy, Azure Cosmos DB creates multiple DiskANN indexes, one for each unique value o...

Introduction In the first part of our series on Azure Cosmos DB Vector Search with DiskANN, we explored the fundamentals of vector indexing and search capabilities using Azure Cosmos DB for NoSQL and demonstrated a few early performance and cost characteristics. In Part 2, we’ll demonstrate how to scale to 1 billion vector datasets, while maintain...

You asked—we delivered! Users can now manually select the region Data Explorer sends requests to! When you use Entra Authentication with NoSQL accounts, you can now enable the Region Selection option in settings. This new capability gives you precise control over where your requests are sent, helping you test, troubleshoot, and optimize performance...

Azure Cosmos DB’s change feed provides a view of changes to data in your container. This enables patterns like event sourcing, auditing and synchronizing downstream systems. Change feed can be read in real time or on demand, giving you the most flexibility for processing and reprocessing changes. Change feed is available in two modes, latest ver...

We are excited to introduce Power BI integration for vCore-based Azure Cosmos DB for MongoDB. This certified solution brings your operational data to life through real-time dashboards, directly in the Power BI interface that your analytics teams already love.  You can now connect Power BI Desktop directly to your vCore-based Azure Cosmos DB for ...