Published on Sep 13, 2022
Through MySQL, AWS users can run transaction processing, real-time analytics, and machine learning in one service
MySQL HeatWave offers 7X better price performance than Amazon Redshift, 10X better than Snowflake, 25X faster than Redshift ML, and up to 10X higher throughput than Aurora
On 12th September 2022, oracle announced that MySQL HeatWave is now available on Amazon Web Services (AWS). One MySQL database can provide OLTP, analytics, machine learning, and automation based on machine learning. AWS users can now run transaction processing, analytics, and machine learning workloads in one service, avoiding the need to duplicate ETL data across separate databases, such as Amazon Aurora for transaction processing, Amazon Redshift for analytics, and SageMaker for machine learning.
Many of our MySQL HeatWave customers migrated from Amazon Web Services. Others wish to maintain parts of their application on Amazon Web Services. “Customers who access Oracle’s cloud database service face exorbitant data egress fees charged by AWS and higher latency,” said Edward Screven, Oracle’s chief corporate architect. We are addressing these issues while delivering outstanding performance and price performance across transaction, analytics, and machine learning compared to other database cloud providers—even Amazon’s own databases running on AWS, where you would think they would have an advantage. By offering AWS customers this option, we wanted to provide them with the option of benefitting from MySQL HeatWave innovation without transferring their data from AWS or training new developers.”
