AWS Clean Rooms

What AWS Clean Rooms is

AWS Clean Rooms lets companies analyze and collaborate on collective datasets without sharing or copying one another’s underlying data. Multiple companies can contribute to a collaboration while each keeps its data in its own account. Customers can permission data in AWS and work with partner datasets stored in Snowflake and AWS using zero-ETL. AWS lists advertising campaign insights, investment decisions, research and development, customer insights, and reporting as possible uses.

Analysis options include SQL, Spark SQL, PySpark, and machine learning. 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 lets collaborators bring a model for training and inference without sharing underlying data or intellectual property. The service can be accessed through the AWS Management Console, API, AWS SDKs, and command line interface. AWS names Snowflake, LiveRamp, Neustar, and Experian among its partners, and lists availability in 11 Regions across North America, Asia Pacific, and Europe. Pricing is usage-based and depends on the capabilities used and AWS Region. Spark SQL has a 60-second minimum charge and PySpark a 10-minute minimum charge.

Who it suits

AWS Clean Rooms is suited to companies that need to analyze data collaboratively while keeping each member’s underlying data in its own account. It may fit teams working on advertising insights, investment decisions, research, customer insights, or reporting that need privacy controls and SQL or machine-learning analysis.

Limits

AWS Clean Rooms has no free plan. Spark SQL is charged with a 60-second minimum, PySpark with a 10-minute minimum, and AWS Free Tier is unavailable for PySpark, AWS Clean Rooms ML, and AWS Entity Resolution.

Getting started

1. Open the AWS Clean Rooms website and contact an AWS Clean Rooms expert if needed.
2. Access the service through the AWS Management Console, API, SDKs, or command line.
3. Set up a collaboration and have participating companies contribute data while retaining it in their accounts.
4. Choose an analysis approach and configure privacy and output controls.
5. Review usage charges based on capabilities and AWS Region.

Verdict

Choose AWS Clean Rooms when multiple organizations need joint analysis without exchanging underlying datasets, and when its analysis and privacy controls match the use case. Look elsewhere if you require a free plan or fixed pricing rather than usage-based charges that vary by capability and Region.