All of these fully transparent benchmark scripts are available on GitHub for customers to replicate. On a 10GB TPC-C* workload, MySQL HeatWave offers up to 10X higher and sustained throughput compared to Amazon Aurora at high concurrency.

For machine learning, MySQL HeatWave on AWS is 25X faster than Redshift ML. On the 4TB TPC-H* benchmark, MySQL HeatWave on AWS delivers price performance that is 7X better than Amazon Redshift, 10X better than Snowflake, 12X better than Google BigQuery, and 4X better than Azure Synapse.

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.

We now have greater scalability to onboard more data and new clients of any size without increasing IT administration.”Īs part of today’s news, Oracle is also introducing several new capabilities and benchmarks for MySQL HeatWave on AWS. “We have seen 60-90X faster complex queries compared to AWS RDS and Aurora that generates real-time analytics we need for targeted, multichannel campaigns. “MySQL HeatWave on AWS simplifies our data platform with a consolidated database for both transaction processing and analytics,” said Thomas Henz, chief executive officer, Johnny Bytes.

Johnny Bytes is an innovative digital agency for web and app development based in Germany. “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.” 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. “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. 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. MySQL HeatWave is the only service that combines OLTP, analytics, machine learning, and machine learning-based automation within a single MySQL database. Oracle today announced that MySQL HeatWave is available on Amazon Web Services (AWS).

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