
    AWS Clean Rooms now offers advanced Spark SQL query configurations, enabling users to customize performance, compute sizes, and optimize query processing with greater runtime flexibility.


<div>
<p>
AWS Clean Rooms has launched advanced configurations to enhance SQL query performance and optimization for Spark-based queries.
</p>
<ul>
<li>Allows customization of Spark properties at runtime</li>
<li>Enables configuration of compute sizes and partition settings</li>
<li>Supports table data caching to improve performance and reduce costs</li>
<li>Provides flexibility for complex queries with large datasets</li>
<li>Allows runtime optimization without modifying SQL queries</li>
</ul>
<p>
The new features help users like advertisers optimize their data analysis by fine-tuning computational resources and query performance in a secure collaborative environment.
</p>
</div>


AWS Clean Rooms launches advanced configurations to optimize SQL performance

Related articles

Related articles

Jun 30
2026
AWS Clean Rooms now supports intermediate tables for SQL

Oct 29
2024
AWS Clean Rooms launches Spark SQL support with configurable compute size

Jan 21
2026
AWS Clean Rooms adds support for join and partition hints in SQL

Jul 27
2026
AWS Clean Rooms supports larger worker types up to 32 vCPUs for SQL