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ATLAS

Atlas Data Federation

Seamlessly query and analyze data across MongoDB Atlas and cloud storage.

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An illustration of an application connected to a database, a cloud, a search bar, and a lake representing the MongoDB collection of products and services.

Easily aggregate, transform, and enrich data

Reduce the time and effort spent building complex pipelines and aggregations. Data Federation simplifies working with data across formats by reducing the overhead of ETL tools. Use it to transform and enrich your data for real-time apps or downstream analytics.

Query Data Across Clusters
Illustration of the data converting interface.

Enable downstream analytics

Convert data from one or more Atlas clusters into columnar formats and write it to cloud object storage. This makes it easy for downstream teams to access, analyze, and move data with the tools they already use.

Power real-time applications

Preserve the structure of your data while querying Atlas and cloud storage through a single API. Run intuitive aggregations to create refined datasets, then write the results to your preferred destination to power real-time applications.

Connect to ASQL

Query and analyze data across sources

Data Federation simplifies working with rich, structured data so you can focus on uncovering insights instead of managing infrastructure.
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Configure a Federated Database Instance

Data Federation combines data from your MongoDB Atlas clusters, Online Archive, and cloud storage (like AWS S3 or Azure Blob Storage) into virtual databases and collections. Your data remains in place and in its native format.

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MQL

Combine, transform, and enrich data

Leverage MongoDB’s aggregation pipeline to combine, transform, and enrich your data. Get insights quickly with federated, parallelized queries.

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MQL

Persist query results

Use the $out stage to send query results directly to an Atlas cluster or cloud object storage in your specified file format. Store data in your preferred storage tier without time-consuming ETL processes.

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MQL

Atlas Data Federation customer successes

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LEGACY MODERNIZATION
“It isn’t just a database like we had in 2013. We can use Atlas Charts for simple data visualizations, and we use Atlas Data Federation to make our old systems talk to each other.”
David Fannar Gunnarsson
Enterprise Architect, Sýn
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LEGACY MODERNIZATION
“It isn’t just a database like we had in 2013. We can use Atlas Charts for simple data visualizations, and we use Atlas Data Federation to make our old systems talk to each other.”
David Fannar Gunnarsson
Enterprise Architect, Sýn
Read Case Study
EVENT-DRIVEN APPS
“We use MQL in every part [of our business]. And with Data Federation, we can use that easily and find data in any storage with a very familiar query, and this is good for us.”
Igor Agenor Piovezan
Software Specialist Developer, Segware
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DATA STRATEGY
“We use Atlas Data Federation to bring all of our AWS usage data into one place for internal business owners. We’re able to aggregate data in S3, write it to an Atlas cluster, and visualize it using Charts. This gives us a full view into our usage across six different AWS master accounts without complex data transformation.”
Scott Jones
Acxiom Fellow, Acxiom
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Learning hub

Explore tutorials, videos, and guides on working with distributed data using Data Federation.

FAQ

Ready to get started?

Create a federated database alongside your operational Atlas data in just a few clicks.
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  • Powerful aggregations
  • Unified query interface
  • Native tools and drivers
  • Multiple data formats