MySQL Heatwave

I use MySQL Heatwave in my organization for data mining and data analysis. It provides the facilities for data analysis and free away from the use of other data analysis tool separately. It is high performance and competative tool which uses parallel computing. This is very economical tool in context of price.

• Database access
• Data mining
• Data analysis

• Cost effective
• More pricing options
• High performance

MySQL Heatwave, MySQL Heatwave, MySQL Heatwave

For our analytics and Machine learning workloads, we need an extremely fast and reliable Database Management System and the same need is fulfilled by MySQL Heatwave. MySQL Heatwave is so fast that we don't have to move our data from MySQL RDBMS to another data warehouse system such as Databricks, which was an added workload for us. MySQL Heatwave has made our analytics work extremely efficient.

• MySQL Heatwave Autopilot for automated configuration and performance tuning
• Regular backups
• Speed of query execution
• Auto scaling of underlying infrastructure

• We no longer have to write data pipelines in Spark anymore for executing ML/Analytics Workloads
• Execution time of the analytics platforms has reduced considerably
• Overall time to market has gone down drastically

Databricks Lakehouse Platform (Unified Analytics Platform) and Cloudera Data Platform

Oracle Cloud Infrastructure