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What's the Difference Between AWS Clean Rooms and AWS Data Exchange?

Compare AWS Clean Rooms and AWS Data Exchange side by side — features, pricing, and ideal use cases to help you choose the right product.

Compare side-by-side

Comparisons
AWS Clean Rooms
AWS Data Exchange
Category

Analytics, Data Collaboration

Analytics, Data Marketplace
Description

Create clean rooms to collaborate on datasets without sharing raw data.

Find, subscribe to, and use third-party data in the cloud.
Best for
  • Advertising analytics
  • Cross-company data collaboration
  • Privacy-safe analytics
  • Audience insights
  • Third-party data acquisition
  • Financial data
  • Weather data
  • Healthcare data
  • Geospatial data
Key features
  • Configurable analysis rules
  • Cryptographic computing
  • No data movement
  • Built-in query controls
  • ML modeling
  • Data subscriptions
  • Automatic data delivery
  • S3 integration
  • API-based data sets
  • Revision tracking
Pricing model

Pay per query processed

Varies by data provider
Free tier

No

No
Expert take

“Clean Rooms lets multiple parties analyze combined datasets without sharing raw data. It enforces cryptographic controls so each participant only sees aggregate results.”
— Giovanni Lauria, re:Post Top Contributor [profile]

“Data Exchange is a marketplace for third-party data. Subscribe to datasets and they appear directly in your S3 bucket or Redshift, updated automatically by the provider.”
— Oleksii Bebych, re:Post Top Contributor [profile]
Product page

Learn more about AWS Clean Rooms »

Learn more about AWS Data Exchange »

When to use AWS Clean Rooms or AWS Data Exchange

Use AWS Clean Rooms when:

  • Advertising analytics
  • Cross-company data collaboration
  • Privacy-safe analytics
  • Audience insights

Learn more about AWS Clean Rooms »

Use AWS Data Exchange when:

  • Third-party data acquisition
  • Financial data
  • Weather data
  • Healthcare data
  • Geospatial data

Learn more about AWS Data Exchange »

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