Machine Learning

ML-driven OtterTune Receives $2.5M to Improve Database Performance


Receives $2.5 million in seed funding, led by Accel

At Percona Live Online 2021, 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 Accel and others.

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 performance. As a result, it is estimated that 40% of cloud databases are over-provisioned, resulting in hundreds of millions of dollars in wasted IT infrastructure spending industry-wide per year.

OtterTune’s ML-based system automates tuning and continually adjusts the configuration to optimize the database for its specific workload. This helps customers reduce database costs by achieving better database efficiency and price-performance. It also frees up DBAs and developers to focus on more strategic work.

OtterTune represents a breakthrough in self-driving DBMS technology, based on R&D by Co-founders Andy Pavlo, Dana Van Aken, and Bohan Zhang at Carnegie Mellon University. They found that automatic configuration was an area of database optimization that no one to date had successfully tackled. They began working on an ML-based tool to solve the problem.

“With hundreds of knobs that affect database performance, DBMSs now exceed the human DBA’s ability to optimize them,” said Andy Pavlo, CEO of OtterTune. “We’ve put years of research into solving this problem, which we know will lead to significant increases in efficiencies and cost savings for customers.”

OtterTune has been proving itself with companies like Societe Generale and others that were able to improve database price-performance using OtterTune. To help launch the service and continue innovating autonomous DBMS technology, OtterTune has raised $2.5 million in seed funding from Accel and others.

“Databases are critically important but hard to operate at scale,” said Ping Li, Partner at Accel. “OtterTune’s founders are uniquely positioned to tackle this value proposition, given their thought-leading academic database research at CMU.”

The OtterTune service works for both on-premises and cloud-based database deployments (PostgreSQL, MySQL, and Amazon RDS). Visit to try OtterTune.

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