Optacloud automates database optimization for MySQL and Postgres using machine learning algorithms to analyze performance metrics and recommend actionable improvements. This technology addresses the challenge of rising cloud costs and inefficient database management by enabling real-time caching and reducing query loads, ultimately enhancing overall database performance.
Funding
$125K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Managing cloud database costs and optimizing performance for MySQL and Postgres databases can be challenging, often requiring specialized expertise and manual effort. Inefficient database configurations lead to increased cloud spending and hinder application performance due to slow queries and underutilized resources.
Solution
Optacloud provides an automated database optimization platform that leverages machine learning to analyze database performance metrics and recommend actionable improvements. The platform identifies slow queries, suggests indexing strategies, and optimizes data types to reduce query loads and improve overall database efficiency. By implementing real-time caching and automating routine optimization tasks, Optacloud enables businesses to reduce cloud costs, improve application responsiveness, and free up engineering resources. The platform is designed to be architecture, stack, environment, and cloud agnostic, with options for secure on-prem deployment.
Target Audience
Optacloud targets engineering teams, IT decision-makers, and businesses using MySQL and Postgres databases who are looking to reduce cloud costs and improve database performance.
Features
- Automated analysis of MySQL and Postgres database performance metrics
- Machine learning-driven recommendations for indexing, data type optimization, and caching strategies
- Real-time caching to reduce query latency and improve application responsiveness
- Identification and archival of unused tables to reclaim storage space
- One-click implementation of recommended changes with rollback and version control capabilities
- Database health scoring with actionable recommendations for performance improvements
- Secure on-prem deployment options