MySQL is one of the most popular SQL databases used in the world and is widely used across the leading web applications. Its open-source relational database management system design enables multiple users to manage and create databases according to their rapidly evolving business and technical requirements.
Oracle recently released MySQL HeatWave ML— the third major release in just 15 months. MySQL Heatwave ML is designed to fully automate the ML lifecycle and store all trained models inside the MySQL database, aiding developers by eliminating the need to move data or the model to a machine learning tool or service. As with previous releases, we evaluated MySQL HeatWave to see how Oracle integrated customer feedback to meet new customer demands with updated features.
Our newest white paper, MySQL HeatWave Delivers Round Three of Knockout Benchmarks and Customer Validation — done in partnership with Oracle — offers a look into what MySQL HeatWave ML provides customers and how it is positioned to meet the topmost demands of our current data environment.
In this white paper you’ll learn:
• An overview of MySQL HeatWave including key feedback from customers on how the updates have answered some of their questions
• An exploration into the key differentiators of MySQL HeatWave ML
• An overview of what we view as the competitive advantages
• Other enhancements in this iteration that warrant consideration
• Key considerations for anyone looking to migrate MySQL databases
MySQL HeatWave is well-suited for fulfilling the workload demands of enterprises — something that can’t be taken for granted in today’s business climate. If you are interested in learning more about how Oracle’s new MySQL Heatwave ML offering can change your business, download your copy of MySQL HeatWave Delivers Round Three of Knockout Benchmarks and Customer Validation today.
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