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SPECIFICTION
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AWS Clean Rooms

aws.amazon.com

WebAPI
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Spec score 7.3 #10 of 21 in Data Clean Room Software

What it is

AWS Clean Rooms lets companies analyze collective datasets without exchanging or copying the underlying data. Multiple companies can contribute to one collaboration while retaining data in their own accounts. Customers can permission AWS data and work with partner datasets in Snowflake and AWS through zero-ETL. Analysis supports SQL, Spark SQL, PySpark and machine learning. AWS lists advertising 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 sharing underlying data or intellectual property. Access is available through the console, API, SDKs and command line. AWS lists availability in 11 Regions. Pricing is pay-as-you-go by capability and Region, with stated minimum charges for Spark SQL and PySpark. No free plan is available.

Spec sheet

Purpose
AWS Clean Rooms lets companies analyze and collaborate on collective datasets without sharing or copying one another’s underlying data.Read 2 Oct 2026 · aws.amazon.com
Integrations
AWS names Snowflake, LiveRamp, Neustar, and Experian among its AWS Clean Rooms partners.Read 2 Oct 2026 · aws.amazon.com
Support
The AWS Clean Rooms site provides an option to contact an AWS Clean Rooms expert.Read 2 Oct 2026 · aws.amazon.com
Founded
2006Read 23 Sep 2026 · aws.amazon.com
Analytics
The service supports SQL, Spark SQL, PySpark, and machine learning analyses.Read 2 Oct 2026 · aws.amazon.com
Availability
AWS lists availability in 11 Regions across North America, Asia Pacific, and Europe.Read 2 Oct 2026 · aws.amazon.com
Data sources
Customers can permission data in AWS and collaborate with partner datasets stored in Snowflake and AWS using zero-ETL.Read 2 Oct 2026 · aws.amazon.com
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.Read 2 Oct 2026 · aws.amazon.com
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.Read 2 Oct 2026 · aws.amazon.com
Multi-party collaboration
Multiple companies can contribute data to one collaboration while each member keeps its data in its own account.Read 2 Oct 2026 · aws.amazon.com
Pricing detail
Spark SQL is billed per CRPU-hour with a 60-second minimum charge, while PySpark has a 10-minute minimum charge.Read 2 Oct 2026 · aws.amazon.com
Privacy controls
Privacy features include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions, and query logging.Read 2 Oct 2026 · aws.amazon.com
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.Read 2 Oct 2026 · aws.amazon.com
Use cases
AWS lists advertising campaign insights, investment decisions, research and development, customer insights, and reporting among its use cases.Read 2 Oct 2026 · aws.amazon.com

Plans and prices

Pay-as-you-go usage pricing Price not published By usage; charges depend on the capabilities used and AWS Region. 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

Every AWS Clean Rooms plan and price →

Strong points and limits

Strong points

  • Keeps member data in separate accounts
  • Supports SQL, Spark SQL and PySpark
  • Includes differential privacy and output restrictions
  • Offers custom and lookalike modeling
  • Available through API, SDKs and CLI

Limits

  • No free plan
  • Charges vary by capability and Region
  • Spark SQL has a 60-second minimum
  • PySpark has a 10-minute minimum

Who it suits

It suits organizations collaborating on shared analysis while keeping source data in separate accounts. Teams needing SQL, machine learning and privacy controls can use the listed access methods.

Verdict

AWS Clean Rooms provides multi-party analysis with explicit privacy controls, machine learning options and several programmatic interfaces. Its usage-based pricing and minimum charges make capability and workload selection significant.

Where Specifiction places it

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