Oracle debuts MySQL HeatWave ML delivering support of extensive machine learning based automation which enables the entire system to become more intelligent over time, locking in accrued lifecycle value for all customers as well as new ML explanations in HeatWave that deliver differentiation across usability and interpretability, quality, as well as performance and scalability criteria. Futurum’s Ron Westfall examines why new MySQL HeatWave ML is well-positioned to meet the most demanding database applications and expectations of enterprise users. From our perspective, the new innovations Oracle has built into MySQL HeatWave ML, enables the solution to stand out with a compelling feature set, AutoML scalability, real-time elasticity, date per node, portfolio-wide enhancement, and price/performance differentiation against the gauntlet of competition.
Oracle MySQL HeatWave Melts Snowflake with Unparalleled Price and Performance Advantages
Oracle introduces MySQL HeatWave immediately providing the extensive automation, unparalleled performance, scalability, lower costs, and blended OLTP/OLAP workload optimization advantages that completely snow under any Snowflake database service offering. Futurum’s Ron Westfall examines why MySQL HeatWave compares so favorably against Snowflake across key performance and price/performance metrics that gives Oracle a virtually insurmountable competitive edge.