Azure Cosmos DB Blog
The latest news, updates and technical insights from the Azure Cosmos DB team
Latest posts
Announcing Preview of Online Copy Jobs in Azure Cosmos DB: Migrate Data with Minimal Downtime!
We are excited to announce the preview of Online Copy Jobs, a powerful new feature designed to make data migration between containers seamless and efficient with minimal downtime. With this feature, you can replicate data from a source to a destination container in real time without disrupting your applications. What is an online copy job? Online Copy Jobs allow you to copy data from a source container to a destination container while your applications continue to run on the source. All data including incremental updates is automatically replicated, ensuring the destination container becomes an up-to-date repli...
Announced at Ignite 2025: Azure DocumentDB, MCP Toolkit, Fleet Analytics, and more!
Microsoft Ignite 2025 kicked off with a wave of announcements for Azure Cosmos DB and Azure DocumentDB, setting the tone for a week of innovation in cloud databases and AI. Here’s your one-stop summary of everything unveiled—and what to watch for in the sessions ahead. Major Azure Cosmos DB announcements from Ignite 2025 Azure DocumentDB now Generally Available Azure DocumentDB is now generally available, bringing a new level of openness, flexibility, and cost efficiency to MongoDB workloads. Built on the open-source DocumentDB engine – now governed by the Linux Foundation – Azure DocumentDB delivers Mongo...
Introducing Index Advisor for Azure DocumentDB (Preview)
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 structure, execution plans, and collection statistics to receive data-driven, plain-English index recommendations. Even better, you can apply these recommendations directly inside the DocumentDB for VS Code extension, making performance tuning faster, easier, and seamles...
Azure Cosmos DB Extension for VS Code Now Generally Available
We’re thrilled to announce the general availability (GA) of the Azure Cosmos DB extension for Visual Studio Code! This powerful extension brings enterprise-grade database management directly into your development environment, making it easier than ever to build, test, and deploy applications powered by Azure Cosmos DB. Why This Matters for Azure Cosmos DB Developers As a Cosmos DB developer, you know the importance of rapid iteration and seamless workflows. The Azure Cosmos DB VS Code extension eliminates context switching by bringing your database management tools directly into your I...
Now Generally Available: Azure Cosmos DB Fleet Pools
We’re excited to announce two updates to Azure Cosmos DB fleets: Azure Cosmos DB fleets enables developers to build scalable, isolated, and cost-effective multi-tenant or Software as a Service (SaaS) applications. Today, many SaaS providers using Azure Cosmos DB isolate each tenant (the end customer of the SaaS provider) in a separate database account to meet strict performance and security requirements—for example, supporting customer-managed keys. While this approach ensures tenant isolation, it creates operational complexity at scale. Managing thousands of RU/s settings becomes difficult, and p...
Public Preview: Azure DocumentDB Migration Extension Now Supports Online Migration to Azure DocumentDB (with MongoDB compatibility)
We’re excited to announce the Public Preview of a significant enhancement to the Azure DocumentDB (with MongoDB compatibility) Migration extension for Visual Studio Code—introducing online migration capability! This update makes it easier than ever to migrate MongoDB workloads to Azure DocumentDB with minimal downtime, maximum efficiency, and a fully managed experience. What Is the Azure DocumentDB Migration Extension? The extension is designed to simplify the migration process for MongoDB workloads. It provides a developer-friendly experience within Visual Studio Code, enabling you to assess, plan, and exe...
Azure DocumentDB is Now Generally Available
Azure DocumentDB, a fully managed MongoDB-compatible database service based on the open-source DocumentDB governed by the Linux Foundation, is now generally available. It was formerly known as vCore-based Azure Cosmos DB for MongoDB. Azure DocumentDB gives developers a multi-cloud, first-party document database on Azure that preserves MongoDB skills and tooling, improves portability through open source, and delivers clear cost control with a simple compute and storage-based model. At Ignite, we announced the AI-powered Index Advisor, Premium storage v2 disks, and the VS Code migration extensio...
Announcing: GA of Cosmos DB in Microsoft Fabric and Cosmos Mirroring
We’re excited to announce that Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring are now Generally Available, uniting your operational and analytical data in one platform. You can now analyze live Cosmos DB data directly in Fabric—no complex or costly ETL required. Data stays in sync in OneLake, providing a single source of truth for real-time and historical insights. Write queries using T-SQL from a SQL Endpoint or use Python and Spark Notebooks in Fabric. As a distributed NoSQL database Cosmos DB in Fabric brings support for semi or unstructured data to analytics and ML workloads as well as a host of a...
Introducing the Azure Cosmos DB MCP Toolkit: Empowering AI Agents with Azure Cosmos DB Intelligence
We're excited to announce the Azure Cosmos DB MCP Toolkit in public preview. This open-source implementation of the Model Context Protocol (MCP) gives AI agents and LLMs direct, secure access to Azure Cosmos DB. The toolkit bridges intelligent applications and globally distributed databases, enabling AI agents to query, search, and understand data autonomously. The MCP Toolkit seamlessly integrates with Microsoft Foundry, a platform for building intelligent agents, AI workflows, and deploying AI models at scale. Developers can experiment, orchestrate, and manage AI applications from development to production. ...