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AWS Clean Rooms
What it is
AWS Clean Rooms is a cloud service for companies that need to analyze collective datasets while keeping each organization’s underlying data in its own account. Multiple companies can join one collaboration, permission data in AWS, and work with partner datasets in Snowflake and AWS through zero-ETL. Analysis options include SQL, Spark SQL, PySpark, and machine learning. AWS lists advertising campaign insights, investment decisions, research and development, customer insights, and reporting as use cases. Privacy controls include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions, and query logging. Clean Rooms ML supports custom and lookalike modeling; custom modeling allows collaborators to bring a model for training and inference without exposing underlying data or intellectual property. Access is available through the AWS Management Console, API, SDKs, and command line. AWS names Snowflake, LiveRamp, Neustar, and Experian as partners and lists availability in 11 Regions. Pricing is pay-as-you-go, with no free plan.
For and against
For
- Keeps each participant’s data in its own account
- Supports SQL, Spark SQL, PySpark, and machine learning
- Includes output restrictions and query logging
- Offers custom and lookalike modeling
- Available through API, SDKs, CLI, and console
Against
- No free plan is available
- Spark SQL has a 60-second minimum charge
- PySpark has a 10-minute minimum charge
- Usage charges vary by capability and Region
The verdict
AWS Clean Rooms combines multi-party analysis with controls designed to limit data exposure. Its usage pricing and lack of a free plan make billing details important before adoption.
Who it suits
It suits companies collaborating on sensitive datasets for analytics, reporting, research, marketing, investment, or machine learning. Teams needing API, SDK, command-line, or console access can use its available interfaces.
Plans and prices
Pay-as-you-go usage pricing
SQL and PySpark: CRPU-hours · ML custom modeling: records and compute · Lookalike modeling: trainings and profiles · Entity Resolution: records
Read 2 Oct 2026 · aws.amazon.com
On the record
- Analytics
- The service supports SQL, Spark SQL, PySpark, and machine learning analyses.aws.amazon.com · read 2 Oct 2026
- Availability
- AWS lists availability in 11 Regions across North America, Asia Pacific, and Europe.aws.amazon.com · read 2 Oct 2026
- Data sources
- Customers can permission data in AWS and collaborate with partner datasets stored in Snowflake and AWS using zero-ETL.aws.amazon.com · read 2 Oct 2026
- Free tier
- AWS states that a Free Plan is not available for AWS Clean Rooms and that the AWS Free Tier is unavailable for PySpark, AWS Clean Rooms ML, and AWS Entity Resolution.aws.amazon.com · read 2 Oct 2026
- Integrations
- AWS names Snowflake, LiveRamp, Neustar, and Experian among its AWS Clean Rooms partners.aws.amazon.com · read 2 Oct 2026
- Machine learning
- AWS Clean Rooms ML supports custom and lookalike modeling, and custom modeling lets collaborators bring a model for training and inference without sharing underlying data or intellectual property.aws.amazon.com · read 2 Oct 2026
- Multi-party collaboration
- Multiple companies can contribute data to one collaboration while each member keeps its data in its own account.aws.amazon.com · read 2 Oct 2026
- Pricing detail
- Spark SQL is billed per CRPU-hour with a 60-second minimum charge, while PySpark has a 10-minute minimum charge.aws.amazon.com · read 2 Oct 2026
- Privacy controls
- Privacy features include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions, and query logging.aws.amazon.com · read 2 Oct 2026
- Programmatic access
- All AWS Clean Rooms functionality is available through an API, AWS SDKs, and the command line interface as well as the AWS Management Console.aws.amazon.com · read 2 Oct 2026
- Purpose
- AWS Clean Rooms lets companies analyze and collaborate on collective datasets without sharing or copying one another’s underlying data.aws.amazon.com · read 2 Oct 2026
- Support
- The AWS Clean Rooms site provides an option to contact an AWS Clean Rooms expert.aws.amazon.com · read 2 Oct 2026
- Use cases
- AWS lists advertising campaign insights, investment decisions, research and development, customer insights, and reporting among its use cases.aws.amazon.com · read 2 Oct 2026
