AWS Clean Rooms Integrates Databricks as a Data Source for Secure Analysis

AWS Clean Rooms expanded data source support by enabling direct secure collaboration on Databricks datasets without data movement.

By Diana Quinn · Editorial pseudonym · 2026-10-20 · 1 min read

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-10-20. Source published: 2026-10-20. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

With Databricks integration, AWS Clean Rooms users can query shared tables directly via Delta Sharing without exporting or copying data to Amazon S3. This capability streamlines cross-organization data collaboration by preserving data governance and reducing pipeline complexity.

Databricks joins existing supported sources such as AWS Glue, Snowflake, and Amazon Athena, enhancing Clean Rooms' versatility for secure data analysis. For example, retailers can now collaborate on campaign analytics with partners using live Databricks data, maintaining data privacy and control within the Clean Rooms environment.

Source & further reading

AWS Clean Rooms now supports Databricks as a data source ↗

Source published 2026-10-20. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.