After a successful public preview, we’re excited to announce the General Availability (GA) of online migration from RU-based Azure Cosmos DB for MongoDB to Azure DocumentDB (with MongoDB compatibility). This capability makes migration fast, simple, and cost-free—all through the Azure portal.

Why This Matters

If you’re running workloads on RU-based Cosmos DB for MongoDB, you can now move to Azure DocumentDB without downtime or extra cost. The GA release ensures a seamless experience: everything happens online, directly in the Azure portal, with no hidden charges or additional tools.

What You Get

Migration is designed to be straightforward and flexible. You can choose between online and offline options depending on your operational needs. The process optimizes query execution by reducing cross-partition operations and using incremental strategies to minimize RU consumption. No extra software is required—just the Azure portal

What’s New in GA

Online migration is now production-ready, offering enterprise-grade reliability after months of successful preview adoption. Incremental migration transfers data in smaller segments, reducing load and ensuring smooth execution. The entire experience is designed to remove complexity and financial barriers, giving you a clear, efficient path forward.

 Start Migrating Today

Move to Azure DocumentDB (with MongoDB compatibility) now and modernize your database workloads effortlessly—at zero migration cost. Begin your migration through the Azure portal and unlock the benefits of Azure DocumentDB without hassle.

Get started today: Check out the documentation and start your journey. We can’t wait to see what you build next!

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About Azure Cosmos DB

Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development, including AI applications. With its SLA-backed speed and availability as well as instant dynamic scalability, it is ideal for real-time NoSQL and MongoDB applications that require high performance and distributed computing over massive volumes of NoSQL and vector data.

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