AWS Clean Rooms expanded worker types for SQL analysis to instance sizes supporting 32 vCPUs and 244 GB memory, doubling the prior maximum capacity. This allows customers to run complex, memory- and compute-intensive collaborative analyses on large datasets more efficiently. Improved performance aids workloads such as multi-touch attribution modeling involving billions of records.
The service helps companies and partners analyze shared data without exposing underlying data, securing privacy while enabling data collaboration. The larger worker types optimize cost and speed for sizable, joint data projects, enhancing the value of AWS Clean Rooms for privacy-preserving analytics.
Source & further reading
AWS Clean Rooms supports larger worker types up to 32 vCPUs for SQL ↗Source published 2026-07-24. 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.