Combine real-time operational data, vectors, and elastic scale in a single intelligent data platform built on the document model—deploy across any cloud or your own infrastructure. Level Up Your MongoDB Skills Atlas Learning Hub Discover tutorials, guides, and videos to master MongoDB Atlas and its features. Build Smarter with AI Learn to build intelligent apps with AI tools and our AI partner ecosystem. State-of-the art embedding models and rerankers made for building, scaling, and deploying intelligent applications. 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. 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. 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. 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. 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 Search on Atlas. 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. 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. 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. Loved by builders, trusted by enterprises Works seamlessly with your tech stack The Intelligent Data Platform for Builders History tells agents what happened. Real-time data tells them what’s happening. Retrieval and memory help them act with context. Atlas Learning Hub MongoDB University