> For the complete MongoDB documentation index, see www.mongodb.com/docs/llms.txt

# Atlas Data Federation Overview

Atlas Data Federation is a distributed query engine that allows you to natively query, transform, and move data across various sources inside and outside of MongoDB Atlas. This page highlights key features, tutorials, and resources for integrating Data Federation into your applications.

## Use Cases

You can use Atlas Data Federation to:

- Copy Atlas cluster data into Parquet or CSV (Comma-Separated Values) files written to AWS (Amazon Web Services) S3 (Simple Storage Service) buckets or Azure Blob Storage.

- Query across multiple Atlas clusters and online archives to get a holistic view of your Atlas data.

- Materialize data from aggregations across Atlas clusters, AWS (Amazon Web Services) S3 (Simple Storage Service) buckets, and Azure Blob Storage.

- Read and import data from your AWS (Amazon Web Services) S3 (Simple Storage Service) buckets or Azure Blob Storage into an Atlas cluster.

## Get Started

Learn how to create and connect to a sample federated database instance in Atlas.

To get started, see [Get Started with Atlas Data Federation.](https://www.mongodb.com/docs/atlas/data-federation/tutorial/getting-started.md#std-label-adf-getting-started)

## Advanced Security Options

Explore Atlas Data Federation advanced security options, including private endpoints, authentication methods, and advanced user configuration options.

See [Atlas Data Federation Advanced Security Options](https://www.mongodb.com/docs/atlas/data-federation/advanced-security-options.md#std-label-adf-advanced-security-options) for more information.

## Define Data Stores

Configure and define data sources for your federated database instance. Support for data sources include MongoDB Atlas clusters, AWS S3 buckets, Azure Blob storage containers, Google Cloud storage buckets, HTTP URLs, and Online Archives.

See [Configure Data Stores for a Federated Database Instance.](https://www.mongodb.com/docs/atlas/data-federation/config/config-data-stores.md#std-label-config-adf)

## Administration

Discover features to manage your MongoDB Atlas federated database instance.

See [Administer Federated Database Instances.](https://www.mongodb.com/docs/atlas/data-federation/administration.md#std-label-adf-administration)

## MQL

Learn how to query federated data using MongoDB Query Language (MQL).

See [Query a Federated Database Instance.](https://www.mongodb.com/docs/atlas/data-federation/query/query-federated-database.md#std-label-query-fdi)

## SQL

Leverage the SQL Interface to query federated data sources.

See [Connect With SQL.](https://www.mongodb.com/docs/sql-interface.md#std-label-connect-with-sql-overview)

## Data Federation Tutorials

Browse advanced tutorials for implementing practical use cases for Atlas Data Federation.

See [Data Federation Tutorials.](https://www.mongodb.com/docs/atlas/data-federation/tutorials.md#std-label-adf-tutorials)

## Features

MongoDB Atlas Data Federation supports multiple data formats and provides you with various operations to interact with Atlas Data Federation.

See [Supported Features.](https://www.mongodb.com/docs/atlas/data-federation/supported-unsupported.md#std-label-supported-unsupported)

## Limitations

See [Data Federation Limitations](https://www.mongodb.com/docs/atlas/data-federation/supported-unsupported/limitations.md#std-label-df-limitations) for information on unsupported features.