EverSQL uses AI to optimize slow SQL queries and database indexes, cutting query latency without code rewrites.
EverSQL is a database performance tool that analyzes SQL queries and schema, then produces optimized query rewrites and index recommendations. Its AI understands execution plans and suggests changes that typically reduce query time dramatically, with before-and-after analysis so DBAs can verify impact. It supports PostgreSQL and MySQL, works through a lightweight agent or query paste-in, and provides ongoing monitoring of slow queries.
EverSQL works passively: its sensors observe queries and execution plans without rewriting application code, then surface optimizations ranked by impact. Typical recommendations cover missing indexes, redundant joins, and query patterns that prevent index usage.
The optimization reports quantify wins in milliseconds and resource usage, which makes it easy to justify changes to engineering leads. For teams without a dedicated DBA, EverSQL effectively provides the missing performance specialist.
EverSQL offers free query optimization for individual use. Paid plans add continuous monitoring, team access, and enterprise support.
Backend engineers, DBAs, and SaaS teams fighting database latency as their data grows.
Basic query optimization is free; ongoing monitoring and team plans are paid.
EverSQL integrates with monitoring stacks and provides automation hooks for enterprise customers.
Unlike generic SQL assistants, EverSQL focuses narrowly on performance: execution plans, indexes, and measurable speedups.
No, recommendations are presented for review; you decide which index and query changes to apply.
EverSQL supports PostgreSQL and MySQL, the two most common engines for growing SaaS backends.
Connection happens through lightweight sensors or pasted queries and execution plans.
EverSQL processes query metadata with security safeguards and does not require access to row data.
Yes, small backends benefit from optimization just as much as large data platforms.
No, analysis is lightweight and designed to run alongside production workloads safely.
Optimization suggestions appear immediately after analysis, and applied changes typically show measurable latency improvements right away.