AWS users can now run transaction processing, real-time analytics, and machine learning in one service with MySQL
MySQL HeatWave delivers 7X better price performance compared to Amazon Redshift and 10X better than Snowflake, 25X faster than Redshift ML, and up to 10X higher throughput than AuroraJakarta, Indonesia—September 15, 2022
Oracle recently announced that MySQL HeatWave is available on Amazon Web Services (AWS). MySQL HeatWave is the only 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.
“AWS and Oracle have a long history of working together to support the needs of our joint customers, and this partnership is an example of how we continue to offer customer choice and flexibility as they digitally transform with cloud technology. With the new feature on MySQL Heatwave on AWS, developers and database administrators can run workloads directly from their MySQL Database enabling Indonesian enterprises to run transaction processing, real-time analytics, and machine learning in one service,” said Davian Omas, managing director, Oracle Indonesia.
Anish Kumar, associate vice president 6D Technologies an India-based high-tech solution provider in the telecom industry with customers in over 80 countries, said “MySQL HeatWave on AWS has 139X faster complex queries compared to Amazon RDS and Aurora that gives us a great opportunity to simplify our data infrastructure for both OLTP and OLAP with sub-second response time. Also, the web console is easy to configure and provides us the visibility to workload-related performance metrics with interactive reporting. MySQL HeatWave is a great fit for our microservices and cloud native product roadmap to deliver a superior experience and performance for our customers.”
As part of the announcement, Oracle is also introducing several new capabilities and benchmarks for MySQL HeatWave on AWS.
MySQL HeatWave is available in multiple clouds today, including OCI, AWS, and 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.
“While AWS offers a smorgasbord of cloud database services specialized for each data type and capability, MySQL HeatWave on AWS follows Oracle’s converged database strategy—offering transaction, analytics, ML, and Autopilot automation all in one. For AWS users, this means no charges for add-on services, extra storage, data egress fees, connectors, and more. For cost conscious IT teams and developers, MySQL HeatWave on AWS represents a whole new TCO calculation with zero cost for what are add-on services on AWS and no data egress fees,” said Marc Staimer, senior analyst, Wikibon. “And just as Usain Bolt left all of his competitors in the dust and set new world records that have yet to be broken, the latest price performance benchmark results demonstrate that MySQL HeatWave on AWS is 7X better than Amazon Redshift. If you follow the money, the choice is easy.”
* Benchmark queries are derived from the TPC benchmarks, but results are not comparable to published TPC benchmarks results since these do not comply with the TPC specifications.
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