SqlOptimizer is built specifically for SQL performance tuning—not generic AI coding help. It analyzes your query, schema, and execution plan together to rewrite slow SQL into optimized versions. It detects missing indexes, bad JOINs, full scans, and N+1 issues, gives before/after performance scores, generates ready-to-run CREATE INDEX statements, supports PostgreSQL, MySQL, SQL Server & Oracle, and saves optimization history.

SqlOptimizer stands out by focusing specifically on real SQL performance optimization, not generic AI code assistance. Existing tools often provide broad suggestions or require manual tuning, while SqlOptimizer analyzes your query, schema, and execution plan together to deliver actionable fixes instantly. What makes it different: Rewrites slow SQL queries into optimized versions, not just advice Performance score (before vs after) so users can measure improvement Detects root causes like missing indexes, bad JOINs, full table scans, N+1 patterns Generates ready-to-run CREATE INDEX statements Supports multiple databases: PostgreSQL, MySQL, SQL Server, Oracle Keeps optimization history for future reference No setup, lightweight, and accessible for both beginners and experienced developers Instead of acting like a chatbot, SqlOptimizer behaves like a dedicated SQL performance engineer available on demand.

This is a really solid breakdown of what makes SqlOptimizer different from the generic AI coding tools. The combination of actual query rewrites plus before/after performance scoring is exactly what developers need to validate whether an optimization is actually worth running in production. The multi-database support and index generation angle should resonate well with teams managing legacy systems.

@osakasaul Thanks for your feedback

SqlOptimizer

Stop Re-pasting & Start Optimizing

Stop Re-pasting & Start Optimizing