MongoDB
Atlas Data Lake

Query and combine MongoDB Atlas application data
and Amazon S3 data with ease.

Unlock the value of your data

Atlas Data Lake is a serverless, scalable query engine that makes it simple and fast to analyze your application and cloud data together using a single API. Eliminate the need for complex data integrations or additional operational overhead.

Analyze rich data
easily and intuitively

Directly query Atlas databases and Amazon S3 together while preserving the rich structure of your data. Run powerful, easy-to-understand aggregations using the MongoDB Query API for a consistent experience across a variety of data types.

Simplify combining, transforming
& enriching data

Reduce the effort required to build aggregations that transform and enrich data in order to generate insights that power real-time applications. Seamlessly work with data in a variety of formats without extensive data pipelines or ETL tools.

Work with data on-demand,
at any scale

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.

Fully integrated with MongoDB Atlas

Spin up your cloud data lake right alongside your operational Atlas databases with a few clicks. Then leverage MongoDB tools like Compass and Charts to explore, visualize and share your data insights.

Learn more about MongoDB Atlas →

See Atlas Data Lake In Action

Ready to get started?

Try MongoDB Atlas Data Lake today

Why use MongoDB Atlas Data Lake?

Multiple Formats

Analyze data stored in JSON, BSON, CSV, TSV, Avro, ORC and Parquet in place without the complexity, cost, and time-sink of data ingestion and transformation.

Powerful Aggregations

Run powerful, modular aggregations on data in-place and persist the results to your preferred storage tier for more control over your dataflows.

Federated Query

Run a single query to analyze data across multiple MongoDB databases and AWS S3 together and in-place for faster insights.

Serverless

No infrastructure to set up and manage - set up your cloud data lake with a few clicks and start running queries immediately.

On Demand

Pay only for the queries run and only when actively working with your data. Eliminate the need to predict demand or capacity.

Fully Integrated

Fully integrated with MongoDB Atlas for access to tools like MongoDB Charts for data visualization, MongoDB Compass, MongoDB Realm and more.

MongoDB Atlas Data Lake Architecture

Pricing

MongoDB Atlas Data Lake is a fully managed data lake as a service offering with pricing based on data scanned, data transferred and data returned.
Data processed
Data returned
$5 per TB with a 10MB minimum per query
Standard AWS data transfer rates

Frequently Asked Questions

What is MongoDB Atlas Data Lake?

MongoDB Atlas Data Lake is a fully managed data lake query service that allows you to natively query and combine data across MongoDB Atlas and AWS S3 without complex integrations. You can federate queries across live and historical data or seamlessly combine and transform data across storage tiers without time-consuming ETL processes. Analyze your richly structured data stored in JSON, BSON, CSV, TSV, Avro, ORC and Parquet formats.

Is MongoDB Atlas Data Lake available on AWS?

MongoDB Atlas Data Lake allows you to query your AWS S3 data in-place and in its native format. Simply spin up a cloud 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.

How do I use MongoDB Atlas Data Lake?

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 multiple data sources, and run powerful aggregations using the MongoDB Query API and tools.

You can get started by connecting your own data - from a MongoDB Atlas database, AWS S3 or HTTP(S) store - or using a sample dataset. For data archival, you can leverage Atlas Online Archive to automatically offload your cold data to a fully-managed Data Lake to reduce storage costs.

Where can I find more information about MongoDB Atlas Data Lake?

Check out our documentation to learn more about getting started with Atlas Data Lake.