Design patterns are where good data modeling lives or dies. In a NoSQL database like Azure Cosmos DB, the difference between a schema that scales to millions of operations per second and one that fights you at every turn usually comes down to a handful of well‑understood patterns: how you partition, how you version, how you fan out work, how you ke...

In Episode 111 of Azure Cosmos DB TV, host Mark Brown is joined by Yohan Lasorsa to explore how developers can build agent-powered applications using a fully serverless architecture. This episode focuses on a practical, end-to-end example that demonstrates how transactional application data and AI-driven experiences can coexist on a single platform...

In Episode 110 of Azure Cosmos DB TV, host Mark Brown is joined by Sajeetharan Sinnathurai to explore how the Azure Cosmos DB MCP Toolkit is changing the way developers build, deploy, and scale AI agents using real application data. As agentic AI systems evolve, one challenge continues to surface: securely and consistently connecting AI agents to ...

We are very excited to announce the public preview for private endpoint support for Azure Cosmos DB Mirroring with Microsoft Fabric mirroring. This feature allows you to preserve the enhanced network security on your data in Cosmos DB from virtual networks or private endpoints, allowing you to seamlessly replicate your operational data in Cosmos DB...

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 ...

Microsoft Build 2025 brought major innovations to Azure Cosmos DB, and in Episode 105 of Azure Cosmos DB TV, Principal Program Manager Mark Brown sits down with Kirill Gavrylyuk, Vice President and GM of Azure Cosmos DB, to break it all down. Whether you're developing AI-native apps, building with MongoDB, or just looking for better performance an...

Ever since our first preview announcement for vector indexing and support for DiskANN and then again when we announced the GA for these features, customers have been asking us to make it easier to generate Azure OpenAI embeddings on their data in Azure Cosmos DB. So we did just that and created the Azure Cosmos DB Embeddings Generator sample app...

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 ...

Today we're excited to introduce a brand new Azure Cosmos DB Desktop Data Migration Tool. You can find the new tool at https://github.com/AzureCosmosDB/data-migration-desktop-tool. Read more about it below and how to use it.   Some History The old Data Migration Tool (or DMT as it was known) was originally created in 2015 and had become out...

"Cosmos DB is the go-to database powering the world’s most demanding workloads at any scale. OpenAI relies on Cosmos DB to dynamically scale their ChatGPT service – one of the fastest-growing consumer apps ever – enabling high reliability and low maintenance." - Satya Nadella, Microsoft chairman and chief executive officer   As the ne...