Azure Cosmos DB
Develop AI-powered apps and agents with a fully managed and serverless NoSQL vector database at any scale.
OVERVIEW
Develop AI-powered apps at any scale
- Power copilots and multi-agent apps with NoSQL data and generate queries by asking questions using natural language.
- Simplify AI apps by storing and querying vectors and NoSQL data efficiently using a serverless vector database—powered by DiskANN.
- Leverage hybrid search to combine vector search and full-text search (BM25), delivering context-aware and keyword-relevant results within the same document model.
- Integrate both NoSQL and vector data into retrieval-augmented generation (RAG) workloads and AI agents.
- Scale out easier with automatic partitioning as data volume and throughput demand grow without impacting availability or requiring manual intervention.
- Build highly responsive apps with <10ms latency SLA and up to 99.999% availability across multiple regions.
- Maintain high availability for single-write region accounts by automatically failing over at the partition level, minimizing disruption and eliminating manual intervention.
- Spend less time managing databases and more time building, thanks to seamless data model evolution with schema-free JSON and automatic indexing.
- Build apps in Python, Node.js, Java, .NET, Go, and more with full Azure Cosmos DB SDK support.
- Focus on coding with serverless in Azure Cosmos DB, allowing you to scale and pay only for what you use.
- Avoid overprovisioning and reduce expenses by letting Azure Cosmos DB adjust throughput dynamically with autoscale, maintaining performance during spikes.
- Mirror Azure Cosmos DB data into Microsoft Fabric to enable near-real-time analytics, AI, and reporting without extract, transform, and load (ETL) processes. Combine operational data with other sources in OneLake for deeper insights.
- Use Azure Functions, AKS, and Azure Container Apps to process Azure Cosmos DB change feed events in real time—triggering workflows, microservices, and analytics without complex data polling or ETL.
- Store agent conversations and model interactions securely in Azure Cosmos DB, and gain enterprise control, observability, and improved multi-turn AI experiences.
FEATURES
Azure Cosmos DB meets you where you are
Azure Cosmos DB
Enjoy the best end-to-end Azure Cosmos DB experience with the native document API.
Vector search in Azure Cosmos DB
Use efficient, high-accuracy vector search at any scale with Azure Cosmos DB.
New dynamic autoscale
Achieve greater efficiency and savings by scaling non-uniform workloads independently.
Manage multitenant workloads at scale with Azure Cosmos DB fleets
Organize tenant accounts in Azure Cosmos DB, leverage shared throughput pools, and gain fleet-wide analytics to optimise performance and costs.
Accelerate queries with Global Secondary Indexes
Optimise performance and reduce costs by creating read-only containers with different partition keys, turning cross-partition queries into fast single-partition lookups.
Security
Embedded security and compliance
34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000
Partners with specialized security expertise.
>100
Compliance certifications, including over 50 specific to global regions and countries.
Pricing
Pricing that gives you flexibility and control
Find the model that best fits your workload, with free options for testing and development. Enjoy virtually unlimited throughput and storage, scale-out architectures for automatic elasticity, traditional scale-up of nodes, and consumption-based serverless options.
use cases
Discover popular Azure Cosmos DB use cases
AI assistants in any industry
Build your own copilot with Azure Cosmos DB and Azure OpenAI.
Scalable and intelligent payment solutions
Build a payments and transactions solution and analyze transactions using an AI-powered agent.
Claims processing
Process medical insurance claims at scale and use an AI-powered assistant to help insurance agents with recommendations.
Fast, scalable Internet of Things (IoT) device telemetry
Get insight into operations, assets, and inventory to help you improve business performance and user experience.
Personalisation and recommendations
Build scalable retail experiences with a real-time product catalog, personalized recommendations, and order processing.
Multitenant software as a service (SaaS) apps
Scale to include millions of tenants using partitions and various isolation models.
RELATED PRODUCTS
Build and modernize intelligent apps
CUSTOMER STORIES
See how customers are innovating with Azure Cosmos DB
RESOURCES
Azure Cosmos DB resources
FAQ
Frequently asked questions
- Azure Cosmos DB is a fully managed, cloud-native NoSQL database designed to deliver ultra-low latency and elastic scalability at a global scale. It uses a schema-agnostic JSON document model which makes it easy for developers to store and query flexible data structures. It supports vector search and hybrid search, enabling AI-driven experiences like RAG and agentic apps. You can access the API using SDKs for popular frameworks such as Python, Node.js, Java, and .NET.
- For NoSQL data, Azure Cosmos DB offers comprehensive SLAs across throughput, latency, consistency, and high availability. This includes a less than 10 millisecond write-and-read latency and 99.999 percent availability. Read the SLAs.
- Azure Cosmos DB is uniquely optimised for AI because it combines a globally distributed operational database with built-in vector and hybrid search, enabling developers to ground generative AI models directly in real-time data. Unlike traditional databases that require multiple systems for transactions, search, and embeddings, Azure Cosmos DB unifies these capabilities into a single service with enterprise SLAs for latency, availability, and security. Its JSON data model, automatic indexing, and change feed make it easy to store, query, and stream embeddings, chat history, and semi-structured data. With straightforward integration into Azure AI services and OpenAI, developers can quickly build and scale AI agents, recommendation engines, and multi-turn conversational apps worldwide—without the complexity of stitching together separate databases.
- Azure DocumentDB is the new name of vCore-based Azure Cosmos DB for MongoDB. It is Microsoft’s fully managed, hybrid and multicloud-ready, enterprise-grade database service, built on the open-source and MongoDB-compatible DocumentDB engine under the Linux Foundation. It provides scalable performance, AI-ready features like built-in vector search, enterprise security with Microsoft Entra ID and customer-managed keys, and cost-efficiency with independent scaling of compute and storage. Developers can build anywhere with the open-source engine, and deploy at scale in Azure.
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