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OtterTune Launches to Improve Database Performance through Automated Database Configuration Tuning Receives $2.5 million in seed funding, led by Accel News provided by Share this article OtterTune today announced the private beta of the new OtterTune automatic database tuning service. The system uses machine learning (ML) to automatically generate configuration settings to improve database performance and efficiency. The company also announced that it has received an initial seed funding round, led by OtterTune machine learning algorithms at work tuning a database, more than doubling its throughput. As companies look to manage their database costs and performance in the cloud or on-premises, significant benefits can be realized by tuning configuration settings. However, with hundreds of settings to consider, most database administrators must rely on time-consuming trial and error tuning or boilerplate configuration settings that can leave databases well short of optimal perfor

Societe generaleDavid templetonBohan zhangAndy pavloCarnegie mellon universityOttertune incCo founders andy pavloDana van akenசமூகம் ஜெநர்யால்டேவிட் கோயில்போஹன் ஜாங்கார்னகி மெலந் பல்கலைக்கழகம்