OtterTune is a software solution that automatically optimizes the configuration of Amazon-based PostgreSQL and MySQL databases to help organizations improve performance, reduce operational costs, and maintain healthy database operations. OtterTune uses machine learning and data-driven approaches to adjust database parameters, aiming to eliminate manual tuning and ensure that databases run efficiently in cloud environments.
How does OtterTune work?
OtterTune connects to Amazon-hosted PostgreSQL and MySQL databases and continuously analyzes their workload and performance metrics. By leveraging advanced algorithms, it recommends and applies configuration changes that can enhance speed, stability, and cost efficiency. This systematic approach helps organizations avoid common pitfalls of manual database tuning while ensuring their infrastructure is optimized for current demands.
Who uses OtterTune?
OtterTune serves organizations that rely on cloud-hosted relational databases and want to maximize their performance without dedicating extensive internal resources to database administration. Some of their customers include Enercalc, Stile, Klar, and AppDirect, reflecting use across a range of industries and application types.
How was OtterTune started?
OtterTune was developed by Dana Van Aken, Andy Pavlo, and Geoff Gordon, who were all involved in the project at the Carnegie Mellon Database Group. The founding team's academic expertise in database systems and machine learning is foundational to OtterTune's technology-driven approach to database optimization. You can learn more about their backgrounds on the About page or through their respective profiles:
Where is OtterTune based?
OtterTune is headquartered in Pittsburgh, PA, United States, and operates as a privately held company with a team size of 11-50 employees.
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