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Atlas Data Federation Overview

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  • About Atlas Data Federation
  • Atlas Data Federation Regions

Atlas Data Federation is a distributed query engine that allows you to natively query, transform, and move data across various sources inside & outside of MongoDB Atlas.

You can use Atlas Data Federation to:

  • Copy Atlas cluster data into Parquet or CSV files written to AWS S3 buckets.

  • Query across multiple Atlas clusters to get a holistic view of your data.

  • Materialize aggregations across Atlas clusters and AWS S3 data.

  • Read and import data from your AWS S3 buckets into an Atlas cluster.

Federated Database Instance

A federated database instance is a deployment of Atlas Data Federation. Each federated database instance contains virtual databases and collections that map to data in your data stores.

Data Store

Data store refers to the location of your data. Atlas Data Federation supports the following data stores:

  • Atlas cluster

  • Atlas Data Lake datasets

  • AWS S3 buckets

  • HTTP endpoints

Storage Configuration

Storage configuration contains mappings between your virtual databases and collections and data sources in JSON format. You can define these mappings in the storage configuration to access and run queries against your data.

Note

To prevent excessive charges on your bill, create your Atlas Data Federation in the same AWS region as your S3 data source.

Atlas Data Federation routes your federated database requests through one of the following regions:

Data Federation Regions
AWS Regions
Virginia, USA
us-east-1
Oregon, USA
us-west-2
Sao Paulo, Brazil
sa-east-1
Ireland
eu-west-1
London, England
eu-west-2
Frankfurt, Germany
eu-central-1
Mumbai, India
ap-south-1
Singapore
ap-southeast-1
Sydney, Australia
ap-southeast-2

Note

You will incur charges when running federated queries. For more information, see Data Federation Costs.

←  Set Up and Query Data FederationGet Started →
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