BigQuery Data Clean Rooms

BigQuery Data Clean Rooms is ranked #27 of 37 in graph databases on Freedom251. It runs on API, Web.

BigQuery Data Clean Rooms plans and pricing

Data contributor Not published Publishes data to a clean room docs.cloud.google.com · 20 Sept 2026

Data clean room subscriber Not published Subscribes to and queries clean-room data docs.cloud.google.com · 20 Sept 2026

Compared on graph databases

Free plan: Yes
Deployment model: cloud

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BigQuery Data Clean Rooms

Purpose: BigQuery Data Clean Rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data.
BigQuery sharing: The service integrates with the BigQuery sharing platform, formerly called Analytics Hub.
Use cases: Google lists campaign planning, measurement and attribution, and activation as primary use cases, alongside retail, financial services, healthcare, and supply chain applications.
Shared resources: A shared resource must be a BigQuery table, view, or table-valued function.
Analysis controls: Contributors can configure analysis rules, including aggregation thresholds, to restrict how subscribers query shared data.
Query templates: Query templates let clean room owners and BigQuery sharing publishers provide predefined queries without sharing the underlying tables or views.
Egress controls: The service automatically prevents subscribers from copying or exporting raw data, and contributors can configure controls for query results.
Privacy limitation: Google cautions that analysis rules might not prevent sophisticated queries from extracting unauthorized data and recommends query templates for approved-query control.
Resource limit: A data clean room can contain at most 100 shared resources; Google says to contact its feedback address to request an increase.
Regional availability: Data clean rooms are available only in BigQuery sharing regions, and listings across multiple regions are not supported.
Pricing basis: Contributors are charged for data storage, while subscribers are charged for compute when they run queries.
Access setup: Using data clean rooms requires enabling the Analytics Hub API and assigning the required IAM roles, including Analytics Hub Admin for owners.
Interfaces: The documentation describes managing clean rooms in the Google Cloud console and creating them through the API.
Pricing: Data contributors are charged only for data storage, and subscribers are charged only for compute when they run queries.

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Where it ranks on Freedom251

Best Graph Databases in 2026#27 of 37
Best OLAP Software in 2026#18 of 31
Best Spatial Databases in 2026#23 of 31
Best SQL Query Tools in 2026#24 of 30
Best OLAP Databases in 2026#17 of 28
Best Query Engine Software in 2026#14 of 25
Best Columnar Databases in 2026#15 of 24
Best Data Warehouse Software in 2026#7 of 22
Best Data Clean Room Software in 2026#4 of 21

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Sources

docs.cloud.google.com/bigquery/docs/data-clean-rooms· checked 2 Oct 2026
cloud.google.com/bigquery/docs/data-clean-rooms· checked 28 Sept 2026