AWS Clean Rooms vs Decentriq Data Clean Rooms

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.

Decentriq Data Clean Rooms lets organizations collaborate on data analysis while keeping raw records private to their owners. Participants receive approved, aggregated results rather than one another’s underlying data. Business users can build insights and custom audiences without code; advanced collaborations support Python, SQL, and R. Its privacy controls use encryption and confidential computing. In the no-code version, only approved aggregated insights and audience identifiers can leave the clean room. Advanced Analytics requires data-owner approval before external parties can access results, and both versions provide tamper-proof audit logs. The service offers API and SDK access, with connectors to import from Amazon S3 and Snowflake and export to Amazon S3 and Meta Ads Manager. Decentriq identifies advertisers, publishers, data partners, retailers, agencies, and healthcare organizations as intended users. It runs in the cloud and is available through web and API. Pricing is on request; the company invites prospective customers to contact it or schedule a demo.