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BigQuery Data Clean Rooms vs Decentriq Data Clean Rooms

BigQuery Data Clean Rooms

cloud.google.com

Decentriq Data Clean Rooms

decentriq.com

Side by side

FigureBigQuery Data Clean RoomsDecentriq Data Clean Rooms
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
APIYesYes
Plans published21
Spec score · Data Clean Room Software7.6 (#6)7.7 (#5)
Founded19982019
HeadquartersMountain View, California, United StatesZürich, Switzerland
PurposeBigQuery data clean rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data.The platform lets multiple parties combine and analyze data under privacy controls without exposing raw data; participants receive approved, aggregated results.
Use casesGoogle lists campaign planning, measurement and attribution, activation, retail, financial services, healthcare, and supply chain use cases.Publisher features include audience insights, remarketing, exclusion targeting, AI lookalike audiences, conversion lift, and incremental reach measurement.

Plans

BigQuery Data Clean Rooms

  • Data contributorPriced on request
  • Data clean room subscriberPriced on request

BigQuery Data Clean Rooms pricing →

Decentriq Data Clean Rooms

  • Data Clean RoomsPriced on request

Decentriq Data Clean Rooms pricing →

In their own words

BigQuery Data Clean Rooms

BigQuery Data Clean Rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data. The cloud service works with BigQuery sharing, and shared resources must be BigQuery tables, views, or table-valued functions. Owners manage rooms, contributors publish data, and subscribers query it. Contributors can apply analysis rules, including aggregation thresholds, and owners or publishers can offer predefined query templates without exposing the underlying tables or views. Subscribers are automatically prevented from copying or exporting raw data, while contributors can configure controls for query results. These controls have limits: Google cautions that analysis rules may not stop sophisticated queries from extracting unauthorized data, and notes that rules can be set only on views. Each room can contain at most 100 shared resources. Availability is restricted to BigQuery sharing regions, without listings across multiple regions. Rooms can be managed in the Google Cloud console or created through the API; setup requires enabling the Analytics Hub API and assigning required IAM roles. Contributors pay for storage, while subscribers pay for compute when running queries.

Visit cloud.google.com

Decentriq Data Clean Rooms

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.

Visit decentriq.com