MongoDB Atlas is a multi-cloud database service that simplifies deploying and managing your databases while offering the versatility you need to build resilient and performant global applications on the cloud providers of your choice.
Atlas runs your databases on AWS, Azure, and Google Cloud, and handles the operational work of running them: provisioning, patching, backup, monitoring, and scaling. You interact with your data through the MongoDB Query API, so your application code, drivers, and tools work the same way that they do against a self-managed deployment.
Atlas offers two database editions, Atlas Core and Atlas Infinite, which differ in how they manage compute and storage. To understand the differences and choose between them, see MongoDB Atlas Database Editions.
What You Can Do with Atlas
Atlas helps you deploy and manage databases on-demand when and where you need them. With Atlas, you can:
Build AI-powered features: Semantic search, RAG, and agents with automatic embeddings all run on your existing operational data.
Run transactional workloads at scale: Flexible document modeling and elastic scaling handle both steady growth and traffic spikes.
Search and analyze live data where it lives: Full-text, vector, and hybrid search plus real-time analytics run directly on Atlas data, no separate systems to sync or manage.
Deploy anywhere with enterprise-grade security and resilience: Multi-cloud, multi-region, and built-in compliance controls support complex business needs, coupled with automated backups, self-healing, and automatic failover.
Scale from prototype to production on one platform: The same APIs, drivers, and tools are available all the way from free to scaled deployments.
Features
Atlas includes a mature feature set of services and capabilities designed for scalability, integrations, and AI-centric workflows that you can add as needed without having to deploy and maintain separate systems:
Build full-text search and Vector Search on your operational data so that RAG, recommendations, and AI agents work against the same data, indexes, and security model as the rest of the app.
Drive your app's retrieval capacity with Voyage AI embedding models and APIs that turn data into high-accuracy vectors natively in the platform.
Automate embeddings with no need for pipelines or machine learning expertise, generated by MongoDB and updated automatically so AI agents can access accurate contextual information in real time.
Orchestrate agents using a precise semantic search interface with long-term memory store integration and lexical prefilters.
Use Atlas Stream Processing to read, write, and transform streams of complex data as it arrives.
How This Documentation Is Organized
Most Atlas documentation applies to both Atlas Core and Atlas Infinite, because the Atlas interface, drivers, APIs, and most operational workflows are the same across editions. Documentation describes which editions each page or section applies to, as follows:
Applies to both editions: Unless a page says otherwise, its content applies to both Atlas Core and Atlas Infinite.
Applies to one edition only: When content applies to a single edition, the page identifies that edition in its title or text.
Not supported on Atlas Infinite: When a feature isn't available on Atlas Infinite during public preview, the page includes a note and links to the supported features.
Behaves differently on Atlas Infinite: When a workflow or option differs between editions, the page or section calls out the difference in place.
Next Steps
To get started with Atlas: