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Combine operational data, vectors, and streaming data in a unified platform.
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Product documentation MongoDB Atlas The modern, AI-ready data platform Learn about the platform Vector Search Stream Processing Operational Transactional Text Search Analytical Graph Geospatial Vector Search Use Cases MongoDB Atlas integrates operational and vector databases in a single, unified platform.
Use vector representations of your data to perform semantic search, build recommendation engines, design Q&A systems, detect anomalies, or provide context for generative AI Apps.
Learn More Documentation Stream Processing Use Cases Build scalable event-driven applications that react and respond in near real-time.
Atlas Stream Processing unifies the developer experience, enabling you to work with high-velocity data streams from sources like Apache Kafka using the same familiar MongoDB Aggregation Pipeline stages you use for your database.
Learn More Tutorial Operational Use Cases Optimize write performance with a document data model that maps to your application’s access patterns.
Meet a wide range of query requirements via a single query API that supports everything from simple lookups to complex processing pipelines for data analytics and transformations.
Learn More Documentation Transactional Use Cases Guarantee millisecond response times at scale with a flexible document data model and rich query capabilities—including secondary indexing, joins, multi-document ACID transactions, and more.
Learn More Documentation Search Use Cases Combine three systems—database, search engine, and sync mechanisms—into one and deliver 30%-50% faster.
Build catalog and content search, in-app search, and single view into your application with MongoDB Atlas Search.
Learn More Documentation Analytical Use Cases Unify the core capabilities needed for application-driven analytics with MongoDB Atlas.
Perform powerful aggregations and transformations in place and in real time.
Leverage optimized indexes, storage, data formats, and an extensive ecosystem of native and integrated analytics services to build smarter applications and achieve real-time business visibility.
Learn More Documentation Graph Use Cases Elevate your applications by leveraging MongoDB's native graph data support.
Efficiently analyze relationships between data entities in your collections for pattern discovery and intelligent predictions.
It’s ideal for powering recommendation systems, fraud detection mechanisms, and managing networks.
Learn More Documentation Geospatial Use Cases Easily build applications that leverage geospatial data with MongoDB's native support for GeoJSON and simple coordinate pairs.
Harness specialized indexes for blazing-fast queries.
It’s your one-stop solution for logistics, location-based services, and spatial analysis.
Learn More Documentation Loved by developers, trusted by enterprises View all customer stories 200 databases migrated to Atlas in 4 months 240% improvement in API performance Retail “MongoDB and everything that comes with it was great.
On MongoDB, we could automate our deployments and scalability monitoring, and we had advanced features like search charts and an online vector store that didn’t exist in the CouchDB ecosystem.” Read Case Study MongoDB for Retail 200 databases migrated to Atlas in 4 months 240% improvement in API performance Retail “MongoDB and everything that comes with it was great.
By migrating operational data from PostgreSQL to MongoDB, we eliminated redundant processes and streamlined data queries.” Read Case Study MongoDB for Telecommunications 10 minutes to generate reports instead of 12 weeks 50% of the world's insulin production HEALTHCARE “We’ve reduced the time taken to create Clinical Study Reports from 12 weeks to
