MongoDB cloud services consist of a comprehensive suite of data products that accelerate and simplify how you build with data for any application. With Atlas Database (the Database-as-a-Service for MongoDB), Search, and Data Lake, you can serve any class of workload through a common API. Additionally, bidirectional sync between Atlas and Realm Mobile Database allows you to extend your cloud backend to the edge and mobile devices.
MongoDB Atlas is a multi-cloud application data platform. At its core is our fully managed cloud database for modern applications. Atlas is the best way to run MongoDB, the leading non-relational database. MongoDB’s document model is the fastest way to innovate because documents map directly to the objects in your code. As a result, they are much easier and more natural to work with. You can store data of any structure and modify your schema at any time as you add new features to your applications.
Atlas Database is available in 80+ regions across AWS, Google Cloud, and Azure. You can even take advantage of multi-cloud and multi-region deployments, allowing you to target the providers and regions that best serve your users. Best-in-class automation and proven practices guarantee availability, scalability, and compliance with the most demanding data security and privacy standards.
Atlas Search makes it easy to build fast, relevant, full-text search on top of your data in the cloud. By embedding an Apache Lucene search engine directly alongside your database, data is automatically synchronized between the two systems. This means developers work with a single driver and API, and there is no separate system to run or pay for—everything is fully managed for you.
Atlas Data Lake allows you to natively query and combine data across MongoDB Atlas and AWS S3 without complex integrations. Spin up a data lake alongside your Atlas database from a common UI and begin working with rich data immediately. Federate queries using a single endpoint or seamlessly combine and transform data across storage tiers without time-consuming ETL processes. Leverage a fully-integrated, scalable query engine to control costs and unlock value from your data faster.
Atlas Charts offers a quick, simple, and powerful way to visualize your data from Atlas and Atlas Data Lake. Made for the document model and integrated with Atlas, Charts requires no setup or ETL to get started. Build charts in minutes, and easily share them with your team. The Charts embedding SDK lets you embed your charts into any website or application to enrich customer experiences.
MongoDB Realm Application Services help you to build key features faster by simplifying the code required to stand up both mobile and web applications. Realm provides a fully managed, serverless back end and automatically manages the flow of data between MongoDB Atlas and client devices.
Application services like triggers and functions make it easy to implement dynamic application logic, and developers can lean on production-ready APIs to connect and integrate Atlas data with ease.
The data platform is extended to the edge by Realm Sync, a real-time data synchronization solution that works between the edge (the Realm Mobile Database) and the back end (MongoDB Atlas) to keep data current and accurate. Used in combination with the Realm Mobile Database—a fast, performant alternative to SQLite—Realm Sync makes it easy for you to build collaborative, real-time apps that work regardless of internet connection.
Use MongoDB Connectors to integrate with the other data tools you use, including Kafka, Spark, Rockset, and most BI and visualization tools.
If you don’t see the connector you need, you can always use the rest-like Atlas Data API or the GraphQL API. Both are instantly-generated APIs that help you access and integrate your Atlas data.