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Decentriq Data Clean Rooms vs Vendia Distributed Data Clean Rooms

Decentriq Data Clean Rooms

decentriq.com

Vendia Distributed Data Clean Rooms

vendia.com

Side by side

FigureDecentriq Data Clean RoomsVendia Distributed Data Clean Rooms
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
APIYesYes
Plans published11
Spec score · Data Clean Room Software7.7 (#5)6.9 (#18)
Founded2019Vendia’s company milestones state that it was founded in 2019.
IntegrationsIts publisher page identifies Amazon S3, Azure, Google Cloud, Snowflake, and Salesforce among data onboarding connectors, and Meta Ads Manager as an audience export connector.The product page describes cloud and on-premises connectivity and last-mile connectors but does not name specific clean-room integrations.
Intended usersThe company describes the platform for advertisers, publishers, data partners, retailers, agencies, and healthcare organizations.The product page describes collaboration among teams, partners, or customers and says partners can generate insights regardless of vendor or platform.
PurposeThe platform lets multiple parties combine and analyze data under privacy controls without exposing raw data; participants receive approved, aggregated results.Vendia describes its distributed data clean room as a way for teams, partners, and customers to share data insights while controlling who can access data and when.

Plans

Decentriq Data Clean Rooms

  • Data Clean RoomsPriced on request

Decentriq Data Clean Rooms pricing →

Vendia Distributed Data Clean Rooms

  • Custom pricingPriced on request

Vendia Distributed Data Clean Rooms pricing →

In their own words

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

Vendia Distributed Data Clean Rooms

Vendia Distributed Data Clean Rooms lets teams, partners, and customers share data insights while controlling access. Partners can collaborate across clouds and warehouses without adopting the same platform, while using a preferred warehouse for governance and compliance. The product combines and transforms data from multiple sources into unified datasets for collaborative analysis. Its capabilities include workspace-level separation, built-in data privacy, granular permissions, cloud and on-premises connectivity, vendor-agnostic interoperability, and last-mile connectors. Users can share selected data and set precise access and permission controls. Vendia says shared data is compartmentalized in account-isolated workspaces, while its immutable ledger records datasets to support auditability. Customers may specify the cloud providers and regions where their data is stored. The maker says setup can take 15 minutes or less with minimal setup and without professional services. The product is available through web and API access. Pricing is on request; although a custom pricing plan is mentioned, the pricing page does not state a price or plan for Distributed Data Clean Rooms. Vendia's security policy describes measures designed to help protect customer data against loss, access, or disclosure.

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