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BigQuery Data Clean Rooms vs InfoSum Data Clean Room

BigQuery Data Clean Rooms

cloud.google.com

InfoSum Data Clean Room

infosum.com

Side by side

FigureBigQuery Data Clean RoomsInfoSum Data Clean Room
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
APIYesYes
Plans published20
Spec score · Data Clean Room Software7.6 (#6)7.4 (#8)
Founded19982015
PricingData contributors are charged only for data storage, and subscribers are charged only for compute when they run queries.The product page directs prospective customers to get in touch and does not state a price.
PurposeBigQuery data clean rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data.The Data Clean Room matches and analyzes unlimited datasets without sharing or moving data.
Use casesGoogle lists campaign planning, measurement and attribution, activation, retail, financial services, healthcare, and supply chain use cases.The product supports audience insights, identity translation, targeting segments, and campaign measurement.

Plans

BigQuery Data Clean Rooms

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

BigQuery Data Clean Rooms pricing →

InfoSum Data Clean Room

No plans published.

InfoSum Data Clean Room 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

InfoSum Data Clean Room

InfoSum Data Clean Room matches and analyzes datasets across organizations without transferring the underlying data. Advertisers, publishers, data owners, commerce media businesses, data providers, and media owners can use first-party data for audience insights, identity translation, targeting, planning, activation, and campaign measurement. InfoSum describes its processing as decentralized and cloud agnostic, using non-movement technology and differential privacy. Personal identifiers are salted and hashed, data is encrypted at rest in decentralized Bunkers, and query results are aggregated with differential privacy techniques. Marketers have drag-and-drop tools and simple queries, while dataset owners can set, change, or revoke permissions. Data can be held in an InfoSum Bunker or a Beacon in a customer cloud or warehouse. Listed destinations include S3, sFTP, Google Cloud Storage, Snowflake Beacon Table, Google PAIR, Ads Data Manager, Customer Match, and DataX. The API supports data onboarding for accounts with an API key and appropriate settings and permissions. Pricing is available on request, and users must arrange platform access through InfoSum rather than self-registering.

Visit infosum.com