BigQuery Data Clean Rooms vs Vendia Distributed Data Clean Rooms
BigQuery Data Clean Rooms
cloud.google.comVendia Distributed Data Clean Rooms
vendia.comSide by side
| Figure | BigQuery Data Clean Rooms | Vendia Distributed Data Clean Rooms |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Data Clean Room Software | 7.6 (#6) | 6.9 (#18) |
| Founded | 1998 | Vendia’s company milestones state that it was founded in 2019. |
| Privacy controls | Contributors can configure analysis rules, including an aggregation threshold rule that allows subscribers to analyze data only through aggregation queries. | Key capabilities include workspace-level segregation, built-in data privacy, and granular access controls. |
| Purpose | BigQuery data clean rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data. | 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
BigQuery Data Clean Rooms
- Data contributorPriced on request
- Data clean room subscriberPriced on request
Vendia Distributed Data Clean Rooms
- Custom pricingPriced on request
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.
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.