OtterTune to compete with Oracle automation, but also for open source databases
Lindsay Clark Fri 14 May 2021 // 10:45 UTC Share
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A university spin-out startup has announced a private beta of an automated database tuning service which its founder claims can double the performance or halve the cost of the popular AWS Relational Database Service.
Among its marketing hype, though, is the, erm, novel approach of launching a hip-hop album of beats and screeching otters. More of that later.
Originating from a project at Carnegie Mellon Database Group, OtterTune is based on the idea you can use machine learning to identify the optimal setting for database parameter knobs, a task well beyond most developers and something even seasoned DBAs struggle with, given the number of databases on the market that they might be required to manage.