Slow query evidence
Rank query pressure by total time, mean time, disk reads, temp writes, and call volume.
Available now
PostgreSQL database optimization without production guesswork.
Use a read-only audit workflow to identify slow query pressure, missing index candidates, unused indexes, table health risks, temp writes, and autovacuum drift.
Index review
Surface likely index opportunities and unused index candidates while keeping creation decisions manual.
Table health
Review bloat signals, dead tuples, table sizes, and maintenance timestamps before tuning production.
Why PostgreSQL first?
PostgreSQL gives small teams strong performance visibility through system catalogs and extensions such as pg_stat_statements. That makes it the best first engine for an evidence-backed database optimization tool.