Auto scheduling determines which queries in the queue are short running and prioritizes them over long running queries in an intelligent way to reduce overall wait time.No other cloud vendor offers this capability. This ensures that changes are propagated at the right optimal cadence. Auto change propagation intelligently determines the optimal time when changes in MySQL Database should be propagated to the HeatWave scale-out data management layer.For customers, this provides a prediction of how long a query will take-enabling them to decide if the duration of the query is too long and to instead run a different query. Auto query time estimation estimates the execution time of a query prior to executing the query.This optimal representation provides the best query performance and minimizes the size of the cluster to minimize the cost. Auto encoding determines the optimal representation of columns being loaded into HeatWave taking the queries into consideration.No other database service provides this capability. This improves the performance of the system as more queries are run. Auto query plan improvement learns various statistics from the execution of queries and improves the execution plan of future queries.No other database service provides this rich capability.
This minimizes data movement across nodes due to suboptimal choices that can be made by operators when manually selecting the column. It also predicts the expected gain in query performance with the new column recommendation. Auto data placement predicts the column on which tables should be partitioned in-memory to achieve the best performance for queries.Auto parallel load optimizes the load time and memory usage by predicting the optimal degree of parallelism for each table being loaded into HeatWave.This means that customers no longer need to manually estimate the optimal size of their cluster. Auto provisioning predicts the number of HeatWave nodes required for running a workload by adaptive sampling of table data on which analytics is required.MySQL Autopilot provides the following capabilities: MySQL Autopilot is available at no additional charge for MySQL HeatWave customers. MySQL Autopilot makes the HeatWave query optimizer increasingly intelligent as more queries are executed, resulting in continually improving system performance over time-a capability not available on Amazon Aurora, Amazon Redshift, Snowflake, or other MySQL-based database services. These machine-learning models are then used by MySQL Autopilot to execute its core capabilities. It uses advanced techniques to sample data, collect statistics on data and queries, and build machine-learning models to model memory usage, network load, and execution time. MySQL Autopilot automates many of the most important and often challenging aspects of achieving high query performance at scale-including provisioning, data loading, query execution, and failure handling.
Oracle MySQL Autopilot: machine-learning–based automation For OLTP queries, MySQL HeatWave has the same performance as Amazon Aurora and is 2.4X less cost, resulting in 2.4X better price performance. Using industry standard CH-benCHmark on a 100 GB dataset for OLAP queries, MySQL HeatWave is 18X faster, provides 110X better throughput, and 2.4X less cost than Amazon Aurora, resulting in 42X better price performance. For such workloads too, MySQL HeatWave is much faster and costs a fraction of Amazon Aurora. Most real world applications have a mix of OLTP and complex OLAP queries.
6.8X faster than Snowflake on AWS at one-fifth the cost, resulting in 35X better price performance (10 TB TPC-H).Results from other benchmarks are here: Faster analytics than Snowflake, Amazon Redshift, Amazon Aurora, Amazon RDS, Google BigQuery, and Azure Synapse at a fraction of the cost See the 30 TB TPC-H benchmark results shown above. This has been demonstrated by multiple standard industry benchmarks like TPC-H, TPC-DS, CH-benCHmark-and on real-world customer workloads.
MySQL HeatWave is faster than all the competing database services- and at a fraction of the cost. Faster than Amazon and Snowflake at a fraction of the cost
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