Automatically tier your data across fully managed databases and cloud object storage with Atlas Online Archive. Combine and analyze data in-place with federated queries and easily persist the results of your aggregation pipelines to your preferred storage tier.
Natively query your richly structured data across your database and AWS S3 store in-place using a single connection string. Run powerful, easy-to-understand aggregations using the MongoDB Query Language (MQL) for a consistent experience across data types.
Atlas Data Lake is serverless, so there is no infrastructure to set up or manage and no need to predict capacity. You only pay for the queries run when actively working with your data. Scale your data lake to deliver performance by parallelizing workloads and enable global data lake analytics.
Spin up your data lake right alongside your operational Atlas database clusters with a few clicks from a common UI and start querying data instantly.
MongoDB Atlas Data Lake is a fully managed data lake as a service that allows you to natively query and analyze data across AWS S3 and MongoDB Atlas in-place. You can seamlessly combine and analyze your richly structured data stored in JSON, BSON, CSV, TSV, Avro, ORC and Parquet formats without the cost and complexity of data movement and transformation.
With MongoDB Atlas Online Archive you can automatically tier your data based on performance requirements for a more efficient system. Move infrequently accessed data from your MongoDB Atlas databases to queryable archival storage to reduce costs while preserving easy access to your archives.
MongoDB Atlas Data Lake allows you to query your AWS S3 data in-place and in its native format. Simply spin up a data lake with a few clicks from the MongoDB Atlas UI and connect to your own AWS S3 buckets to begin querying and analyzing your data.
MongoDB Atlas Data Lake is a self-serve application that can be accessed and set up through the MongoDB Atlas control plane. Create and connect to a data lake, configure databases and collections from files stored in AWS S3, and run powerful aggregations using the MongoDB Query Language (MQL) and tools.
You can connect your own AWS S3 buckets or leverage Atlas Online Archive to automatically tier your MongoDB Atlas data to fully managed cloud object storage and query it in-place. Expose all of your historical data to your real-time application for new insights and an improved user experience.