AWS Clean Rooms vs Vendia Distributed Data Clean Rooms
AWS Clean Rooms
aws.amazon.comVendia Distributed Data Clean Rooms
vendia.comSide by side
| Figure | AWS Clean Rooms | Vendia Distributed Data Clean Rooms |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Clean Room Software | 7.3 (#10) | 6.9 (#18) |
| Founded | 2006 | Vendia’s company milestones state that it was founded in 2019. |
| Integrations | AWS names Snowflake, LiveRamp, Neustar, and Experian among its AWS Clean Rooms partners. | The product page describes cloud and on-premises connectivity and last-mile connectors but does not name specific clean-room integrations. |
| Privacy controls | Privacy features include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions, and query logging. | Key capabilities include workspace-level segregation, built-in data privacy, and granular access controls. |
| Purpose | AWS Clean Rooms lets companies analyze and collaborate on collective datasets without sharing or copying one another’s 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
Vendia Distributed Data Clean Rooms
- Custom pricingPriced on request
In their own words
AWS Clean Rooms
AWS Clean Rooms lets companies analyze collective datasets without exchanging or copying the underlying data. Multiple companies can contribute to one collaboration while retaining data in their own accounts. Customers can permission AWS data and work with partner datasets in Snowflake and AWS through zero-ETL. Analysis supports SQL, Spark SQL, PySpark and machine learning. AWS lists advertising insights, investment decisions, research and development, customer insights and reporting as use cases. Privacy controls include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions and query logging. Clean Rooms ML supports custom and lookalike modeling; custom modeling allows collaborators to bring a model for training and inference without sharing underlying data or intellectual property. Access is available through the console, API, SDKs and command line. AWS lists availability in 11 Regions. Pricing is pay-as-you-go by capability and Region, with stated minimum charges for Spark SQL and PySpark. No free plan is available.
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.