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Azure DocumentDB

Build AI-driven apps, migrate your MongoDB workloads, and standardize on an open-source, MongoDB-compatible document database engine. Azure DocumentDB supports hybrid and multicloud architectures with enterprise-grade performance, availability, and easy Azure AI integration.
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OVERVIEW

Innovate on an open-source, MongoDB-compatible multicloud document database

  • Run MongoDB-compatible workloads at 40% lower price on average compared to MongoDB Atlas on AWS.1
  • Reduce total cost of ownership by migrating MongoDB workloads to Azure DocumentDB and scaling compute and storage layers independently. Get 35 days of free backups, and access anytime support included in the service price. 
  • Handle your variable workloads and help eliminate unnecessary wait time with a real-time, dynamically adjusting capacity that scales up or down based on application demands.
  • Begin your open-source DocumentDB project locally or in any cloud—or take advantage of the Azure DocumentDB free tier option that gives you a dedicated cluster with 32 GB of storage for the lifetime of your account.
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FEATURES

Discover why Azure DocumentDB is right for you

Open source and multicloud

Azure DocumentDB (formerly vCore-based Azure Cosmos DB for MongoDB) is built on the robust foundation of DocumentDB, an open-source document database platform. DocumentDB provides a portable, interoperable solution for document data stores either on-premises, in multicloud environments, or in hybrid architectures.
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Integrated vector store

The integrated vector database in Azure DocumentDB efficiently connects your AI applications with your data. And Microsoft DiskANN can be tasked with performing highly accurate and scalable similarity searches across complex data sets.
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Integration with the Azure platform

Azure DocumentDB provides a comprehensive and integrated solution for resource management, monitoring, enterprise security, application hosting, and AI integrations in Azure.
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Instant automatic scaling

Instant scalability helps ensure your database adapts immediately to changing workloads, helping eliminate performance bottlenecks and avoid unnecessary costs.
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High availability

A high-availability SLA up to 99.995% applies best practices for increased uptime and improved disaster recovery.
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Simplified MongoDB migrations

Migrate MongoDB workloads to Azure DocumentDB using dedicated migration tools, online migration capabilities, and Visual Studio Code integration. Reduce migration effort, minimize downtime, and accelerate modernization.
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Security

Embedded security and compliance

34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
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15,000
Partners with specialized security expertise.
 
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>100
Compliance certifications, including over 50 specific to global regions and countries.
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Learn more about security on Azure
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Pricing

Flexible, cost-efficient pricing

Azure DocumentDB (formerly vCore-based Azure Cosmos DB for MongoDB) offers a familiar architecture at a price that includes free backups up to 35 days and anytime support.
See Azure DocumentDB pricing

Azure Cosmos DB

Develop low-latency AI apps and agents at any scale with the native NoSQL API.
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Azure OpenAI in Foundry Models

Access foundational and reasoning models, and integrate powerful AI apps.
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Azure Container Apps

 Run AI apps and microservices using serverless containers.
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Azure Functions

Execute event-driven serverless code with an end-to-end development experience.
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Azure App Service

Quickly build, deploy, and scale web apps and APIs globally with a fully managed platform as a service (PaaS).
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Azure Kubernetes Service

Deploy and scale containers on managed Kubernetes.
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Customer Stories

Innovating with Azure DocumentDB

Learn how customers are using Azure DocumentDB (formerly vCore-based Azure Cosmos DB for MongoDB).
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  1. Fortune Brands
  2. Solv logo
Fortune Brands
Fortune Brands Innovations unifies their brands under one portal with Microsoft Power Pages
Fortune Brands Innovations created a more streamlined customer experience using Microsoft Power Pages and Dynamics 365 Customer Experience.

Products

Solv logo
Solv eliminates 98% of clerical errors with Dynamics 365 Business Central
Solv improved report accuracy and efficiency by switching to Dynamics 365 Business Central, saving 40 man-hours monthly and enhancing financial controls.
Products
Syensqo.AI leverages Azure OpenAI Service to develop SyGPT chatbot in record time
Syensqo.AI, a division of the Belgian science and technology leader Syensqo, has developed SyGPT, an advanced AI chatbot using Azure OpenAI Service.
Products
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RESOURCES

Explore Azure DocumentDB resources

  1.
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Azure DocumentDB documentation

Explore documentation for Azure DocumentDB (formerly vCore-based Azure Cosmos DB for MongoDB).
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Azure DocumentDB blog

Get the latest news and technical insights from the Azure DocumentDB team. Learn how to modernize MongoDB workloads, built AI-ready applications, and work with open-source DocumentDB on Azure.
Read the blog
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Open-source DocumentDB project

Learn more about a powerful, scalable open-source document database built for modern applications.
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DocumentDB on GitHub

 Get started with DocumentDB and join the community.
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Learning Path

Build an AI agent with Azure DocumentDB.
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Stay ahead of the quick pace of AI 

Learn how agents are shaping what’s next. Hear from the team behind the tools in The Shift: Agentic Edition podcast.
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FAQ

Frequently asked questions

  • Azure DocumentDB is the new name for vCore-based Azure Cosmos DB for MongoDB. Azure DocumentDB is a fully managed, hybrid and multicloud-ready, enterprise-grade document database service, built on the open-source and MongoDB-compatible DocumentDB engine. It combines a document API, vector, and hybrid search for AI apps and agents, automatic and instant scalability, and high-availability SLAs for easy integration with Azure security, analytics, and AI services.
  • Yes. Azure DocumentDB is designed for MongoDB-compatible workloads and supports existing MongoDB tools, drivers, and applications. Customers can continue using familiar MongoDB development and operational workflows while benefiting from Azure-managed infrastructure and services.
  • Azure DocumentDB is a fully managed, MongoDB-compatible document database built on an open-source engine, designed for portability across hybrid and multicloud environments. Azure Cosmos DB is a fully managed NoSQL and vector database with a native API, offering automatic scaling, multi-region distribution, and enterprise SLAs for low-latency, high-availability, and AI-powered applications.
  • Azure DocumentDB has a free tier, enabling developers to explore the platform without any financial commitments. With the free tier, developers get a dedicated DocumentDB cluster with 32 GB storage. The free tier lasts for the lifetime of the Azure account. Developers can also use the free open-source DocumentDB locally or in any cloud environment.
  • Azure DocumentDB offers MongoDB compatibility with minimal code changes, predictable vCore pricing, and built-in vector search for AI apps. Its open-source foundation enables hybrid and multi-cloud portability, while Azure’s fully managed service provides high availability, security, and seamless scaling—making it easy to build modern, production-ready applications quickly.
  • Azure DocumentDB is ideal for transactional and operational NoSQL workloads, real-time analytics, and high-scale web and mobile apps. It supports common MongoDB scenarios like content and product catalogs, user profiles, IoT and event data, and session/state management. With built-in vector search, it also powers AI apps, chatbots, and RAG scenarios with low-latency, global access.
  • Azure DocumentDB provides multiple migration options for MongoDB workloads, including online migrations, native MongoDB tools, and the Azure DocumentDB Migration Extension for Visual Studio Code. These options help you move databases with minimal disruption while maintaining familiar MongoDB tools, drivers, and application workflows.
  • Learn Azure DocumentDB through Microsoft Learn, which offers documentation, quickstarts, and tutorials for Python, Node.js, Java, .NET, and more. You can also use the VS Code extension to explore data and run queries interactively. These resources help you quickly build, test, and optimize modern MongoDB-compatible applications with DocumentDB.
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Next steps

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  1. [1]
    Sources: Azure DocumentDB pricing, MongoDB Atlas on AWS pricing based on publicly available pricing as of October 2025, rounded to the nearest percent. Comparison reflects commonly used production SKUs, including MongoDB Atlas M30, M40, M50, M60, M80, and M200 tiers, mapped to comparable Azure DocumentDB configurations. Pricing comparisons were validated across all corresponding Azure and AWS region pairs, including Azure East US and AWS us-east-1. Actual costs may vary based on region, workload characteristics, configuration, and applicable discounts.
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