Oracle MySQL HeatWave, a cloud database service, is now available on Amazon Web Services (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.
“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.
He added: “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.”
AWS customers welcome the availability of MySQL Heatwave outside of the Oracle Cloud Infrastructure (OCI).
Anish Kumar, associate vice president at 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.”
“MySQL HeatWave on AWS has 50X faster complex queries compared to AWS RDS and that not only provides us with real-time insights to accelerate application development, but also helps us improve patients’ lives,” said Kyle Yang, assistant manager, Bionime. The Taiwan-based company is a leading medical device manufacturer for diabetes monitoring systems in more than 100 countries
New features
Furthermore, Oracle also introduces several new capabilities and benchmarks for MySQL HeatWave on AWS. These include:
- Native AWS experience: MySQL HeatWave on AWS delivers a true native experience for AWS users through millisecond-level latencies for applications and a rich interactive console. It facilitates schema and data management, and executes queries interactively from the console. Users can monitor the performance of their queries and monitor the utilisation of the provisioned resources. MySQL Autopilot is also integrated with the interactive console, making it easier to use.
- Advanced security features: Compared to Amazon Aurora, MySQL HeatWave service now offers several comprehensive security features. These include server-side data masking and de-identification, asymmetric data encryption, and a database firewall. Asymmetric data encryption enables developers and DBAs to increase the protection of confidential data and implement digital signatures to confirm the identity of people signing documents. Database firewall provides real-time protection against database-specific attacks, such as SQL Injections. These features are designed to provide best in class security for database users and provide a contrast with Aurora, where security methods are layered on top of the database.
- 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. Autopilot features include auto provisioning, auto parallel loading, auto encoding, auto data placement, auto scheduling, auto query plan improvement, auto change propagation, and auto error handling. Combined, these features improve performance of the application, reduce cost by predicting the optimal configuration to run a workload, and reduce manual database administration. Today, Oracle is introducing additional Autopilot capabilities designed for OLTP workloads. Auto thread pooling provides higher and sustained throughput at high concurrency by determining the optimal number of transactions which should be executed. Auto shape prediction determines the optimal shape which should be provisioned to provide the best price performance for OLTP workloads. In a running system, the recommendation could be to continue using the existing shape, to upgrade to a larger shape for better performance or to downgrade to a smaller shape to reduce costs—whichever shape provides the best price performance.
- Machine Learning: HeatWave ML provides in-database machine learning capabilities, including training, inference, and explanations. This enables customers to securely use machine learning on real-time data without the complexity, latency, and cost of ETL. HeatWave ML fully automates the ML lifecycle and stores all trained models inside the MySQL database, eliminating the need to move them to a separate machine learning tool or service. It’s available at no additional charge for MySQL HeatWave customers. No other cloud database vendor or open source database provides such advanced ML capabilities inside the database. MySQL HeatWave customers can now train models more often and keep them updated for increased prediction accuracy.
Ready for the distributed cloud
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 organisations 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. “If you follow the money, the choice is easy.”
