Azure Cosmos DB Blog
The latest news, updates and technical insights from the Azure Cosmos DB team
Latest posts
Public Preview: AI-powered Azure Cosmos DB Migration Assistant for RDBMS to NoSQL
Today, we are excited to announce the public preview of the Azure Cosmos DB Migration Assistant for RDBMS to NoSQL, now available in the Azure Cosmos DB extension for Visual Studio Code. 📈 Modernize with confidence Why migrate from RDBMS to Azure Cosmos DB? Modernizing relational workloads has traditionally been complex, time-consuming, and risky. This new AI-assisted, phase-based workflow replaces manual analysis with structured recommendations and helps you navigate key design choices such as denormalization, partitioning, and NoSQL data modeling. It helps you move from relational databases (SQL Se...
Announcing the General Availability of Per Partition Automatic Failover for Azure Cosmos DB NoSQL
Today, we are excited to announce the General Availability of Per Partition Automatic Failover (PPAF) for Azure Cosmos DB NoSQL API. PPAF is a significant advancement in how Azure Cosmos DB delivers availability and resilience for mission-critical workloads running on single-write-region accounts. If you rely on Azure Cosmos DB to be always on for your mission-critical applications — PPAF is built for you. With PPAF, Azure Cosmos DB can automatically recover affected partitions by failing over writes to a secondary region within 3 minutes at P99, without requiring application changes. A smarter, more granu...
Azure Cosmos DB MCP Toolkit Is Now Generally Available — Bringing Your Database to AI Agents at Scale
Since we introduced the Azure Cosmos DB MCP Toolkit at Ignite 2025 in preview, the response has been clear: developers want a straightforward way to connect AI agents to their production databases. Customers asked for stability, broader embedding provider support, and a smoother path from experimentation to production. Today, we're announcing the general availability of the Azure Cosmos DB MCP Toolkit (v1.1.2), now with deeper Microsoft Foundry integration, multi-provider embedding support, and the reliability improvements you asked for. The Problem: Getting AI Agents to Talk to Your Data Is Harder Than I...
Announcing General availability of the Azure Cosmos DB vNext emulator
The Azure Cosmos DB vNext emulator is generally available today. It ships as a Docker image that runs on Linux, macOS, and Windows, on both x64 and ARM64 architectures, giving you a local Cosmos DB instance you can develop and test against. Use it for inner-loop development on your laptop, in CI integration tests, and anywhere else you’d rather not use a live account. You can get started right away with a couple of simple commands: A lot has shipped since the preview announcement: broader feature and API coverage, an embedded shell, vector search, and OpenTelemetry support. The rest of this post walks throu...
Announcing the Public Preview of Semantic Reranker in Azure Cosmos DB for NoSQL
Today we’re thrilled to announce the public preview of Semantic Reranker in Azure Cosmos DB for NoSQL, a new AI-powered capability that improves the relevancy of your search results with just a few lines of code. If you’ve ever run a vector, full-text, or hybrid search and wished the most relevant documents bubbled to the very top, this one’s for you. Semantic Reranker uses an AI model to score and reorder the results of any query based on how well each document matches the user’s intent. It’s built right into the Azure Cosmos DB SDKs (Python, .NET, and Java), so you can reorder results from any container with...
Announcing General Availability of Azure Cosmos DB Global Secondary Indexes
Have you ever needed to evolve your read patterns without losing efficiency? Maybe your app started with one access pattern, but now you need three, and the queries that don't hit your partition key are getting slower and more expensive every month. We built global secondary indexes (GSIs) for exactly this, and today we're thrilled to announce they're generally available in Azure Cosmos DB! A GSI is an automatically synced copy of your data with a different partition key, so you can query it efficiently for more read patterns. The problem GSI solves Azure Cosmos DB scales by distributing data across physical ...
New Toolkits for Agent Memories and Agentic Retrieval in Azure Cosmos DB
Today we’re thrilled to announce the public preview of two new toolkits for Azure Cosmos DB: the Agent Memory Toolkit and the Agentic Retrieval Toolkit. If you’re building AI agents and retrieval-augmented generation (RAG) apps, these toolkits are designed to take you from prototype to production faster, giving your agents durable memory and your RAG pipelines the ability to reason over evidence in multiple passes, all backed by the database you already know and love. Both toolkits build on the same foundation: Azure Cosmos DB for NoSQL as a unified store for documents, vectors, and full-text data, with vector...
Announcing Public Preview of Safe Key Rotation in Azure Cosmos DB
In our previous post, we introduced the private preview of Safe Key Rotation, a feature that helps Azure Cosmos DB customers avoid service disruptions during key rotations. By showing when each account key was last used, it helps teams make informed decisions before rotating keys or moving to Entra ID. This capability addresses a common challenge: keys that appear unused may still support critical applications, which can lead to unexpected outages if they are rotated too soon. What is new? With public preview, we are expanding this capability to give you even more control and confidence when managing you...
Announcing the Public Preview of the Azure Cosmos DB Cost Estimator for NoSQL
Today, we're thrilled to announce the public preview of the Azure Cosmos DB Cost Estimator, a new sizing and pricing experience that takes developers from a blank page to a defensible monthly cost estimate in minutes. Sizing an Azure Cosmos DB workload has always been one of the first questions a team has to answer, and historically one of the hardest. Every one of those decisions changes the number, and most teams need that number before they've written a single line of code. AI workloads have made this harder, not easier. RAG pipelines, AI chat sessions, vector embeddi...