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BigQuery Data Clean Rooms

cloud.google.com

WebAPI
Visit cloud.google.com
Spec score 7.6 #3 of 13 in Data Exchange Platforms

What it is

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.

Spec sheet

Purpose
BigQuery data clean rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data.Read 3 Oct 2026 · docs.cloud.google.com
Headquarters
Mountain View, California, United StatesRead 28 Sep 2026 · cloud.google.com
Founded
1998Read 28 Sep 2026 · cloud.google.com
Access setup
Using data clean rooms requires enabling the Analytics Hub API and assigning the required IAM roles, including Analytics Hub Admin for owners.Read 2 Oct 2026 · docs.cloud.google.com
Analysis controls
Contributors can configure analysis rules, including aggregation thresholds, to restrict how subscribers query shared data.Read 2 Oct 2026 · docs.cloud.google.com
BigQuery sharing
Data clean rooms integrate with the BigQuery sharing platform, formerly called Analytics Hub.Read 3 Oct 2026 · docs.cloud.google.com
Egress controls
Data egress controls automatically prevent subscribers from copying or exporting raw data, and contributors can add controls for query results.Read 3 Oct 2026 · docs.cloud.google.com
Interfaces
The documentation describes managing clean rooms in the Google Cloud console and creating them through the API.Read 2 Oct 2026 · docs.cloud.google.com
Limitations
Analysis rules can be set only on views, and Google cautions that rules might not prevent sophisticated queries from extracting unauthorized data.Read 3 Oct 2026 · docs.cloud.google.com
Pricing
Data contributors are charged only for data storage, and subscribers are charged only for compute when they run queries.Read 3 Oct 2026 · docs.cloud.google.com
Pricing basis
Contributors are charged for data storage, while subscribers are charged for compute when they run queries.Read 2 Oct 2026 · docs.cloud.google.com
Privacy controls
Contributors can configure analysis rules, including an aggregation threshold rule that allows subscribers to analyze data only through aggregation queries.Read 3 Oct 2026 · docs.cloud.google.com
Privacy limitation
Google cautions that analysis rules might not prevent sophisticated queries from extracting unauthorized data and recommends query templates for approved-query control.Read 2 Oct 2026 · docs.cloud.google.com
Query templates
Owners and publishers can share predefined queries through query templates without sharing the underlying tables or views.Read 3 Oct 2026 · docs.cloud.google.com
Regional availability
Data clean rooms are available only in BigQuery sharing regions, and listings for multiple regions are unsupported.Read 3 Oct 2026 · docs.cloud.google.com
Resource limit
A data clean room can contain at most 100 shared resources; Google directs users to contact [email protected] to request an increase.Read 3 Oct 2026 · docs.cloud.google.com
Roles
The product defines owner, contributor, and subscriber roles for managing rooms, publishing data, and querying shared data.Read 3 Oct 2026 · docs.cloud.google.com
Shared resources
A shared resource must be a BigQuery table, view, or table-valued function routine.Read 3 Oct 2026 · docs.cloud.google.com
Use cases
Google lists campaign planning, measurement and attribution, activation, retail, financial services, healthcare, and supply chain use cases.Read 3 Oct 2026 · docs.cloud.google.com

Plans and prices

Data contributor Priced on request Publishes data to a clean room Read 20 Sep 2026 · docs.cloud.google.com
Data clean room subscriber Priced on request Subscribes to and queries clean-room data Read 20 Sep 2026 · docs.cloud.google.com

Every BigQuery Data Clean Rooms plan and price →

Strong points and limits

Strong points

  • Supports distinct owner, contributor, and subscriber roles.
  • Offers aggregation rules and predefined query templates.
  • Blocks subscribers from copying or exporting raw data.
  • Separates contributor storage costs from subscriber compute costs.

Limits

  • A room is limited to 100 shared resources.
  • Availability is limited to BigQuery sharing regions.
  • Analysis rules may not stop sophisticated extraction queries.
  • Rules can be set only on views.

Who it suits

It suits organizations whose contributors and subscribers need to analyze shared BigQuery data under defined query and output controls. Campaign planning, measurement and attribution, and activation are listed use cases, alongside several industry applications.

Verdict

BigQuery Data Clean Rooms provide controls for sharing and analyzing data while keeping raw data from direct export. The stated limits on regions, resources, and analysis-rule protection matter when assessing whether they fit a particular collaboration.

Where Specifiction places it

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