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AWS Clean Rooms Adds SQL Join and Partition Hint Support to Optimize Query Performance

AWS Clean Rooms enabled use of join and partition hints in SQL to improve query efficiency and reduce costs during data collaboration.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-01-21. Source published: 2026-01-21. 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.

AWS Clean Rooms, a service for secure data collaboration, introduced support for SQL hints including broadcast joins and partition hints embedded as comments in queries. These hints optimize join strategies and data distribution during query executions, enabling improved parallel processing and reduced resource consumption. For instance, companies analyzing advertising effectiveness can use broadcast joins for smaller lookup tables to enhance query speed and cost-efficiency.

This capability applies to both pre-approved analysis templates and ad hoc queries, facilitating tighter control over query behavior in collaborative environments. AWS Clean Rooms supports data clean room creation within minutes and integration with data providers across AWS and Snowflake, empowering multi-party analysis while preserving data privacy.

Source & further reading

AWS Clean Rooms adds support for join and partition hints in SQL ↗

Source published 2026-01-21. 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.