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Atlas

Data Federation. Transform and enrich your data.

Seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases, Atlas Data Lake and AWS S3 buckets.
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Easily aggregate, transform, and persist data

Reduce the time and effort you spend building aggregations that transform and enrich your data. Data Federation reduces the effort, time-sink, and complexity of pipelines and ETL tools when working with data in different formats. Use it to generate insights to power real-time applications or downstream analytics.
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Enable downstream analytics

Convert Atlas data from one or more clusters to a columnar file format and output that data to AWS S3 to be consumed by downstream teams, enabling faster insights and simpler data movement on data when used with analytics tools.
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Power real-time applications

Preserving the rich structure of your data is invaluable. Now you can directly query Atlas databases and AWS S3 together using a single API. Run powerful but easy-to-understand aggregations to create a refined data set, then persist that data into an Atlas database to power real-time applications.
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Feature overview
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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.

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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.

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Federated query

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

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Serverless

No infrastructure to set up and manage - create your cloud federated database with a few clicks and start running queries immediately.

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On demand

You only pay for the queries you run and only when actively working with your data. With an on-demand service, you can eliminate the need to predict demand or capacity.

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Fully integrated with MongoDB Atlas

Get access to our other product offerings such as Charts for advanced data visualization and Compass for a visual exploration of your data.


Use Data Federation on MongoDB

We built Data Federation to simplify how you work with rich data. Spend more time uncovering insights instead of managing infrastructure.
View Documentation
Configure a Federated Database Instance
Data Federation combines data from your MongoDB Atlas clusters, Atlas Data Lake and cloud storage (like AWS S3) into virtual databases and collections. Your data remains in-place and in its native format.
Combine, transform and enrich data
Leverage MongoDB’s aggregation pipeline to combine, transform and enrich your data. Get insights quickly with federated, parallelized queries.
Persist query results
Send query results directly to an Atlas cluster, Atlas Data Lake or S3 bucket in your specified file format. Store data in your preferred storage tier without time-consuming ETL processes.
Configure a Federated Database Instance
Data Federation combines data from your MongoDB Atlas clusters, Atlas Data Lake and cloud storage (like AWS S3) into virtual databases and collections. Your data remains in-place and in its native format.
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.
MQL
Persist query results
Send query results directly to an Atlas cluster, Atlas Data Lake or S3 bucket in your specified file format. Store data in your preferred storage tier without time-consuming ETL processes.
MQL
MQL

Learn more about Atlas Data Federation

Discover how to analyze rich data easily and intuitively with a scalable cloud data federation service.
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Atlas Data Federation in action

See how you can combine and transform real-time application data and cloud data without complex integrations.

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How To

Federate queries across data sources

See step-by-step how you can federate queries across multiple data sources and easily persist results to your preferred storage.

Learn more
“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 the whole story
“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
“MongoDB Atlas on AWS is stable and scalable, and gives us the flexibility we need for critical operational work. We want to read data structured in a specific way for data reporting and analysis purposes, so we used App Services triggers to move everything into MongoDB Atlas Data Federation, which in turn is being consumed by a custom dashboard.”
Ranjan Moses
Chief Technology Officer, WeKan
“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

Get started with Data Federation today

Create a federated database alongside your operational Atlas database in a few clicks. Configure your Data Federation from multiple data sources, or use a sample dataset to get started today.
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GET STARTED WITH
  • A unified data platform
  • Powerful aggregations
  • Sample datasets
  • Native tools and drivers
  • Multiple data formats
  • Pay-as-you-go model