In this paper, we use the OtterTune tuning service to compare three state-of-the-art ML algorithms on a real-world enterprise DBMS installation, showing a 45% performance improvement.
Dana Van Aken, OtterTune co-founder, shares her CMU PhD thesis. The outcome of this research is the foundation of the OtterTune solution.
Optimizing a DBMS to meet the needs of an application has surpassed the abilities of humans. In this paper, we discuss two engineering approaches for integrating ML agents in a DBMS.
In this demonstration, we showcase OtterTune’s ability to automatically select a configuration that improves a DBMS’s performance.
