Announcing general availability of Amazon RDS for MySQL and Amazon Aurora MySQL databases as new data sources for federated querying

With Amazon Redshift federated query capability, many customers have been able to combine live data from operational databases with the data in Amazon Redshift data warehouse and the data in Amazon S3 data lake environment in order to get unified analytics view across all the data in the enterprise. Now Amazon Redshift federated query support is generally available for Amazon Aurora MySQL and Amazon RDS for MySQL databases in addition to the existing Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL databases.

Amazon Redshift federated query allows you to incorporate live data from the transactional databases as part of your business intelligence (BI) and reporting applications to enable operational analytics. The intelligent optimizer in Amazon Redshift pushes down and distributes a portion of the computation directly into the remote operational databases to help speed up performance by reducing data moved over the network. Amazon Redshift complements subsequent execution of the query by leveraging its massively parallel processing capabilities for further speed up. Federated query also makes it more easier to ingest data into Amazon Redshift by letting you query operational databases directly, applying transformations on the fly, and loading data into the target tables without requiring complex ETL pipelines.

Federated query support for Amazon Aurora MySQL and Amazon RDS MySQL databases is available to all Amazon Redshift customers. To get started and learn more, visit the documentation. Refer to the AWS Region Table for Amazon Redshift availability.