| Name | OtterTune |
| Overview | OtterTune was a database tuning service founded in 2020 by researchers from Carnegie Mellon University. It used machine learning to optimize database management systems, focusing on enhancing performance and reducing costs. OtterTune automated database configuration by analyzing historical performance data, leveraging advanced algorithms to adjust settings. The service aimed to streamline database management, especially for cloud-based systems. In May 2022, OtterTune raised $12 million in Series A funding. However, the service ceased operations in June 2024. |
| Main features | – Automated database tuning – Machine learning-based optimization – Historical data analysis for configuration – Cloud-based support – Performance enhancement |
| Benefits | – Reduced database management costs – Improved database performance – Time-saving with automated tuning – Enhanced system efficiency |
| Role of use | – Database administrators – Data scientists – IT operations |
| Target audience | Database administrators, data scientists, cloud service providers, IT operations teams |
| Pricing | Pricing details were specific to usage tiers and varied based on database and performance requirements; the service is no longer available. |
| Tags | Database optimization, machine learning, cloud database tuning, performance enhancement, automated configuration |
| App available? | No, you can only use OtterTune on website platforms. |
OtterTune
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Introduction
OtterTune was an AI-powered database tuning service from Carnegie Mellon University researchers, using machine learning to automate database optimization, improve performance, and reduce costs.
Category: Databases
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