AWS Clean Rooms

What AWS Clean Rooms is

AWS Clean Rooms lets companies analyze shared datasets together without exchanging or copying the underlying data. Multiple companies can contribute to one collaboration while retaining their data in their own accounts. Customers can permission data in AWS and work with partner datasets stored in Snowflake and AWS using zero-ETL. The service supports SQL, Spark SQL, PySpark, and machine learning analyses, with use cases that include advertising insights, investment decisions, research and development, customer insights, and reporting. Privacy controls include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions, and query logging. AWS Clean Rooms ML supports custom and lookalike modeling; custom modeling allows collaborators to bring a model for training and inference without sharing the underlying data or intellectual property. The service is available through the AWS Management Console, API, SDKs, and command line. Pricing is usage-based, with charges varying by capability and AWS Region. Spark SQL has a 60-second minimum charge and PySpark a 10-minute minimum. There is no free plan, and AWS Free Tier is unavailable for PySpark, Clean Rooms ML, and Entity Resolution.