Posted On: Feb 1, 2018
Amazon Aurora Parallel Query improves the performance of large analytic queries by pushing processing down to the Aurora storage layer, spreading processing across hundreds of nodes.
With Parallel Query, you can run sophisticated analytic queries on Aurora tables with an order of magnitude performance improvement over serial query processing, in many cases. Parallel Query currently pushes down predicates used to filter tables and hash joins.
The preview is available for the MySQL-compatible edition of Amazon Aurora, and is currently available in the US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Ireland) Regions. Sign up to get access.
To learn more about Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases, visit the Amazon Aurora product page.
Aurora Parallel Query preview: