Posted On: Sep 20, 2018
Amazon Aurora Parallel Query is a feature of the Amazon Aurora database that provides faster analytical queries over your transactional data. It can speed up your queries by up to 2 orders of magnitude, while maintaining high throughput for your core transactional workload. Read about it on the AWS Blog.
Parallel Query takes advantage of Aurora’s architecture by pushing processing down to the Aurora storage layer, spreading computation across thousands of nodes. By pushing query computation down to the storage layer where possible, Parallel Query limits CPU, memory, and network contention with the core workload.
The feature is available for the MySQL 5.6-compatible edition of Amazon Aurora, and is currently available in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), and Asia Pacific (Tokyo) Regions. You can get started by creating an Aurora cluster in the Amazon RDS Management Console and enabling Parallel Query. For more details, see the Amazon Aurora documentation.
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.