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Akoya vs BigQuery Data Clean Rooms

Both stand on data exchange platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Akoya

Free plan APIWeb

Choose Akoya if your organization needs permissioned financial data access across institutions, with a sandbox for evaluation and consumer consent controls. Expect a production onboarding process and request pricing before planning implementation costs.

Visit Akoya

BigQuery Data Clean Rooms

Paid APIWeb

BigQuery Data Clean Rooms provide role-based sharing and configurable query controls, with explicit limits on resource count and regional availability. Google warns that analysis rules alone may not prevent all unauthorized extraction.

Visit BigQuery Data Clean Rooms

The facts

AkoyaBigQuery Data Clean Rooms
Free planYesNot published
Open sourceNot publishedNot published
Runs onAPI, WebAPI, Web
Lowest paid planFree or on requestFree or on request
Plans published22
MakerNot publishedNot published
Websiteakoya.comcloud.google.com
On data exchange platforms#1 of 13#5 of 13

Akoya: what it does well

  • One integration provides multiple API connections across the network.
  • Network coverage includes 4,300+ financial institutions.
  • Supports real-time data refresh and several financial-data categories.
  • Consumers can monitor and revoke sharing consent.
  • Free self-service sandbox includes test data.

What to know first

  • Production access requires a request, onboarding, screening, and a signed agreement.
  • Pricing is on request, and setup or implementation fees may apply.
  • Standard is for fewer than 10,000 monthly connections; Enterprise starts at 10,000+.

BigQuery Data Clean Rooms: what it does well

  • Blocks subscribers from copying or exporting raw data.
  • Contributors can set aggregation thresholds and query-result controls.
  • Query templates offer predefined analysis without exposing underlying tables.
  • Available through the console and API.

What to know first

  • A room is limited to 100 shared resources.
  • Availability is limited to BigQuery sharing regions.
  • Analysis rules may not block sophisticated data extraction.
  • Storage and query compute charges still apply.

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