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.
Run powerful, modular aggregations on data in-place and persist the results to your preferred storage tier for more control over your dataflows.
Run a single query to analyze data across multiple MongoDB databases and cloud object storage together and in-place for faster insights.
No infrastructure to set up and manage - create your cloud federated database with a few clicks and start running queries immediately.
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.
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.
See how you can combine and transform real-time application data and cloud data without complex integrations.
See step-by-step how you can federate queries across multiple data sources and easily persist results to your preferred storage.
Learn about the foundational capabilities needed to deliver on smarter apps and real-time business insights.
Learn how to combine all your data into one logical view for easier query-ability.
Learn how to model & transform your MongoDB Atlas Cluster data for real-time query-ability using Data Federation.
Learn how to control access, customize read preferences, and set tag sets for a more secure data experience using Data Federation.