MySQL Autopilot: machine learning–powered automation Various analytics processing primitives use the hardware instructions of the underlying virtual machines (VMs). The overlap of computation with communication is optimized for the network bandwidth available. The sizes of the partitions have been optimized to fit the cache of the underlying shapes. Query processing in HeatWave has been optimized for commodity servers in the cloud. HeatWave has an intelligent query scheduler that overlaps computation with network communication tasks to achieve very high scalability across thousands of cores. Each node within a cluster and each core within a node can process partitioned data in parallel. This provides excellent internodal scalability. HeatWave massively partitions data across a cluster of nodes, which can be operated in parallel. Architected for massive scale and performance It implements state-of-the-art algorithms for distributed query processing that provide very high performance. HeatWave is an in-memory, massively parallel, hybrid columnar query-processing engine.
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