EverSQL

EverSQL is an AI-powered database performance optimization tool specifically designed for PostgreSQL and MySQL databases. It helps engineers and database administrators automatically identify, analyze, and fix slow-running SQL queries without requiring manual tuning or deep database expertise. The core functionality revolves around three main areas: SQL query optimization, database observability, and cost reduction. When a user submits a SQL query or connects their database, EverSQL’s AI engine analyzes the query execution plan, indexes, schema structure, and database statistics. It then generates specific, actionable recommendations—such as adding or modifying indexes, rewriting queries with better join orders, removing unnecessary subqueries, or adjusting WHERE clause filters. These suggestions are tailored to the actual database version and configuration, ensuring real-world compatibility. The tool can optimize both simple SELECT statements and complex multi-table joins, subqueries, and aggregation queries. For ongoing database observability, EverSQL continuously monitors query performance over time. It shows which queries consume the most CPU, memory, or I/O, and alerts users when performance degrades. The dashboard visualizes query latency trends, slow query logs, and resource usage patterns, enabling teams to detect bottlenecks before they impact production. Engineers can drill down into individual queries to view execution plans, index usage histograms, and historical runtime comparisons. Cost reduction is achieved by reducing database resource consumption. Faster queries mean less CPU time, lower I/O operations, and smaller memory footprints, which directly translate into lower cloud database bills or less hardware provisioning. EverSQL also identifies unused or