Azure Cosmos DB Conf is a free virtual event featuring expert-led sessions, demos, and real-world guidance on building globally distributed apps with Azure Cosmos DB. Join us on April 28, 2026 for live content and on-demand sessions.
A curated set of links for Azure Cosmos DB, Azure DocumentDB, and the open-source DocumentDB project.
Explore the Azure Cosmos DB Conf 2026 playlist featuring sessions from engineers, architects, and product leaders covering distributed databases, AI integration, performance tuning, scalability patterns, and real world use cases to help developers build modern applications confidently.
Learn how to build agentic applications using Azure Cosmos DB, moving from idea to a working solution, with practical guidance on architecture, data modeling, AI orchestration, and development workflows that accelerate innovation across modern cloud native scenarios.
Discover for designing scalable data models with the help of an AI coding agent, including schema design, partitioning strategies, indexing considerations, and techniques that improve application performance, flexibility, and maintainability across evolving distributed database workloads and solutions.
See how enterprises scale generative AI solutions using Azure Cosmos DB, highlighting architecture patterns, performance optimization, data management strategies, and deployments demonstrate how to operationalize intelligent applications securely, reliably, and efficiently across complex, high volume business environments.
Explore Azure Cosmos DB Shell preview, combining source tooling with AI driven automation to simplify database operations, enable scripting, and streamline management workflows, giving developers command line capabilities for efficient, repeatable, and scalable data platform administration tasks.
Learn langchain-azure-cosmosdb enables developers to build agentic applications and retrieval augmented generation solutions using a single database, simplifying integration, improving performance, and providing data handling for AI powered experiences across enterprise grade, scalable cloud environments and workloads.
Understand private preview of Azure Cosmos DB RBAC integration, enabling role based access control, security, and streamlined identity management, helping organizations enforce governance policies, reduce operational risk, and manage permissions consistently across distributed database resources and applications.
Examine Azure DocumentDB with MongoDB compatibility supports banking scenarios, enabling unified customer 360 views, scalable data architectures, and secure handling of sensitive financial data, helping institutions modernize legacy systems while delivering personalized, time digital experiences to customers.
Get guidance optimizing Azure Cosmos DB costs for AI and agentic workloads, including strategies for throughput management, data modeling, indexing, and scaling that reduce spend while maintaining performance, reliability, and efficiency across demanding, growth intelligent application scenarios.
Explore how AI coding agents can improve data modeling decisions, helping you design scalable, efficient schemas through guided insights, automation, and best practices aligned to modern application needs.
A hands‑on walkthrough of building MCP servers that can plug AI applications into Azure Cosmos DB
The Azure Cosmos DB Linux-based vNext emulator (preview) is a local version of the Azure Cosmos DB service that runs as a Docker container on Linux, macOS, and Windows. It provides a cost-effective way to develop and test applications locally without requiring an Azure subscription or network connectivity.
A Model Context Protocol (MCP) server that enables AI agents to interact with Azure Cosmos DB through natural language queries. Features enterprise-grade security with Azure Entra ID authentication, document operations, vector search, and schema discovery.
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.
The Model Context Protocol (MCP) has established itself as the ubiquitous standard for connecting AI applications to external systems. Since its release, there have been implementations across various programming languages and frameworks, enabling developers to build solutions that expose data sources, tools, and workflows to AI applications.
Welcome to our multi-agent samples repository showcasing a retail banking scenario. This repository demonstrates several approaches to building multi-agent applications using Azure Cosmos DB. Note: The content in this branch is legacy and may be outdated. It is no longer actively maintained. Please refer to the latest branches for up-to-date information.
If you have this certification and it will expire within six months, you are eligible to renew. Show that you have kept current with the latest Azure Cosmos DB updates by passing the renewal assessment. You can also prepare to renew with the curated collection of learning modules.
Write efficient queries, create indexing policies, manage, and provision resources in the SQL API and SDK with Microsoft Azure Cosmos DB.
