Atlas
Data Federation. Transform and enrich your data.
Seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases and cloud object storage offerings.
Data Federation
Data Federation gives Atlas users the ability to combine, enrich, and transform data, execute federated queries across data sources and output data to their preferred destination, through a stable, flexible, performant service..svg?auto=format%252Ccompress)
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.
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.
Power real-time applications
Preserving the rich structure of your data is invaluable. Now you can directly query Atlas databases and cloud object storage together using a single API. Run powerful but easy-to-understand aggregations to create a refined data set, then persist that data into your preferred location to power real-time applications.Feature overview
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 cloud object storage together and in-place for faster insights.
Serverless
No infrastructure to set up and manage - create your cloud federated database with a few clicks and start running queries immediately.
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.
Fully integrated with MongoDB Atlas
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.
Use Data Federation on MongoDB
Configure a Federated Database Instance
Data Federation combines data from your MongoDB Atlas clusters, Atlas Data Lake, 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.
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 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, 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.
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 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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“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.”
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.”
Acxiom Fellow, Acxiom
Get started with Data Federation today
Create a federated database alongside your operational Atlas database in a few clicks. Configure your federated database instance from multiple data sources, or use a sample dataset to get started today.
GET STARTED WITH
- A unified data platform
- Powerful aggregations
- Sample datasets
- Native tools and drivers
- Multiple data formats
- Pay-as-you-go model