Oracle announced that MySQL HeatWave is available on Amazon Web Services (AWS), giving customers a service that combines OLTP, analytics, machine learning, and machine learning-based automation within a single MySQL database.
AWS users can now run transaction processing, analytics, and machine learning workloads in one service, without requiring time-consuming ETL duplication between separate databases such as Amazon Aurora for transaction processing and Amazon Redshift or Snowflake on AWS for analytics and SageMaker for machine learning.
“Oracle believes in giving customers a choice. Many of our MySQL HeatWave customers migrated from AWS. Others wish to continue running parts of their application on AWS. Those customers face serious challenges including exorbitant data egress fees charged by AWS and higher latency when accessing a database service running in Oracle’s cloud,” said Edward Screven, chief corporate architect, Oracle. “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’d think they would have an advantage. We wanted to offer AWS customers this choice to benefit from MySQL HeatWave innovation without moving their data from AWS, or developers needing to learn a new platform.”
As part of today’s news, Oracle is also introducing several new capabilities and benchmarks for MySQL HeatWave on AWS, including:
- Unmatched performance and price performance: MySQL HeatWave on AWS is optimized for AWS with a superior architecture that delivers higher performance and lower cost compared to competitive offerings, as demonstrated by industry standard benchmarks.
- Native AWS experience: MySQL HeatWave on AWS delivers a true native experience for AWS customers through millisecond-level latencies for applications and a rich interactive console.
- Advanced security features: MySQL HeatWave service now offers several comprehensive security features which provide additional differentiation with Amazon Aurora.
- MySQL Autopilot: Autopilot provides workload-aware, machine learning-based automation of various aspects of the application lifecycle, including provisioning, data management, query execution, and failure handling.
- Machine Learning: HeatWave ML provides in-database machine learning capabilities, including training, inference, and explanations.
MySQL HeatWave is available in multiple clouds including OCI, AWS, and will arrive on Microsoft Azure in the near future. It’s available on-premises as part of Oracle Dedicated Region Cloud@Customer for organizations that cannot move their database workloads to the public cloud.
Customers can also replicate data from their on-premises MySQL OLTP applications to MySQL HeatWave on AWS or OCI to obtain near real-time analytics. MySQL HeatWave is always running the latest version of the MySQL database which is not the case for many of the other MySQL based services.
For more information about this news, visit www.oracle.com.