Published on November 9, 2023, 6:27 am
Oracle has made its cloud database service, MySQL HeatWave, available on Amazon Web Services (AWS). This new offering allows AWS users to consolidate transaction processing, analytics, and machine learning workloads into one service without the need for complex data duplication between separate databases.
According to Edward Screven, Chief Corporate Architect at Oracle, the company aims to address challenges faced by customers who migrate from AWS or wish to run parts of their applications on AWS. These challenges include high data egress fees and increased latency when accessing database services in Oracle’s cloud. To provide a solution, Oracle is offering MySQL HeatWave on AWS to allow customers to benefit from its innovation without having to move their data or learn a new platform.
The availability of MySQL HeatWave outside of the Oracle Cloud Infrastructure (OCI) has been well-received by AWS customers. Anish Kumar, Associate Vice President at 6D Technologies, a high-tech solution provider in the telecom industry with international customers, praised MySQL HeatWave for its significantly faster complex queries compared to other offerings like Amazon RDS and Aurora. He mentioned that this speed improvement simplifies their data infrastructure and provides sub-second response times.
Similarly, Kyle Yang of Bionime, a leading medical device manufacturer for diabetes monitoring systems in over 100 countries, highlighted the real-time insights provided by MySQL HeatWave on AWS. The faster complex queries not only accelerate application development but also contribute to improving patients’ lives.
In addition to this expanded availability on AWS, Oracle has introduced several new features and capabilities for MySQL HeatWave. These include delivering a native AWS experience with millisecond-level latencies for applications and an interactive console for schema and data management. Advanced security features such as server-side data encryption and a database firewall have also been added.
The Autopilot feature of MySQL HeatWave provides workload-aware and machine learning-based automation throughout the application lifecycle. This includes auto provisioning, query execution optimization, error handling, and other tasks that improve performance and reduce costs.
Furthermore, MySQL HeatWave now includes in-database machine learning capabilities called HeatWave ML. This feature enables users to conduct machine learning tasks securely on real-time data without the need for complex data movement or additional services. Trained models can be stored directly inside the MySQL database for increased prediction accuracy. These advanced ML capabilities are not provided by any other cloud database vendor or open source database.
MySQL HeatWave is currently available on multiple clouds, including Oracle Cloud Infrastructure (OCI) and AWS, with Microsoft Azure support coming soon. This flexibility allows customers to choose the deployment option that best suits their needs, whether it’s in the public cloud or on-premises.
By offering an all-in-one solution for transaction processing, analytics, machine learning, and automation, MySQL HeatWave on AWS follows Oracle’s converged database strategy. This convergence not only eliminates additional charges for add-on services but also reduces storage costs and eliminates data egress fees associated with using multiple specialized cloud database services offered by AWS.
In conclusion, Oracle’s MySQL HeatWave is now available on AWS, providing users with a powerful and versatile cloud-based database service. The expanded availability offers significant benefits in terms of cost savings, reduced latency, and simplified infrastructure for AWS users. With new features like native AWS experience, advanced security measures, Autopilot automation, and in-database machine learning capabilities, Oracle continues to innovate in the field of cloud databases.