AWS Clean Rooms

AWS Clean Rooms supports minimum aggregation thresholds in custom analysis rules

AWS Clean Rooms now supports minimum aggregation thresholds for the Custom analysis rule type. Minimum aggregation helps protect the privacy of individual data subjects by preventing queries from returning results about individuals or small groups.

AWS Clean Rooms supports exporting privacy-enhanced analysis logs for SQL

AWS Clean Rooms now supports exporting privacy-enhanced analysis logs for SQL analyses, offering customers greater optimization and troubleshooting capabilities.

AWS Clean Rooms supports larger worker types up to 32 vCPUs for SQL

AWS Clean Rooms now supports larger worker types of 32 vCPUs with 244 GB of memory for SQL analyses, allowing you to run more compute and memory-intensive workloads. Previously, the largest worker type available was 16 vCPUs with 120 GB of memory.

AWS Clean Rooms now supports intermediate tables for SQL

queries, offering increased flexibility for organizations running complex, multi-step analytical workflows with their partners. With this launch, customers can write the results of a SQL query to an intermediate table within a collaboration for reuse in subsequent analyses.

AWS Clean Rooms now supports mutable payment configurations for collaborations

AWS Clean Rooms now supports mutable fine-grained payment configurations for collaboration members. This capability offers customers greater flexibility and control over payment responsibilities as they develop new use cases with their partners.

AWS Clean Rooms now supports configurable Spark properties for PySpark

jobs, offering customers the ability to optimize their workloads based on their performance and scale requirements.

AWS Clean Rooms announces support for remote Apache Iceberg REST catalogs

AWS Clean Rooms now supports catalog federation for remote Iceberg catalogs. This capability simplifies clean room setup by providing direct, secure access to Iceberg tables stored in Amazon S3 and cataloged in remote catalogs—without requiring table metadata replication.

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

AWS Clean Rooms announces support for join and partition hints for SQL queries, enabling optimization of join strategies and data partitioning for improved query performance and reduced costs.

AWS Clean Rooms now supports parameters in PySpark analysis templates

AWS Clean Rooms announces support for parameters in PySpark analysis templates, offering increased flexibility for organizations and their partners to scale their privacy-enhanced data collaboration use cases.

AWS Clean Rooms now supports detailed monitoring for collaboration queries

Today, AWS Clean Rooms announces the launch of detailed monitoring for SQL queries in a collaboration. This new capability publishes detailed metrics to CloudWatch for operational monitoring of collaborations, including query performance and resource utilization.