Monster Cleaner
Clean, optimize, and boost WordPress performance.
MonsterCleaner is a premium WordPress database performance plugin designed to help site owners, developers, and agencies scan, clean, optimize, and automate database maintenance with confidence.
It hunts down hidden “database monsters” like junk data, bloated tables, orphaned records, and unnecessary entries — then lets you clean them safely with full control, scheduling, and exportable reports.
It hunts down hidden “database monsters” like junk data, bloated tables, orphaned records, and unnecessary entries — then lets you clean them safely with full control, scheduling, and exportable reports.
0
Database Checks
We run comprehensive health checks across your WordPress database to detect bloat, junk data, and performance risks before they impact your site.
0
Rows Analyzed Per Scan
MonsterCleaner scans large tables efficiently, helping you spot heavy tables, orphaned records, and growth hotspots in seconds.
0
Cleanup Modules
Targeted cleanup modules let you remove revisions, transients, trash, orphans, and other junk individually—no risky one-click wipes.
0
Action Transparency
Every scan, cleanup, and automation run is logged and exportable, so you always know what changed and why.
Our Story
MonsterCleaner was built out of real operational pain: maintaining large WordPress and WooCommerce databases at scale. Over time, we observed predictable failure patterns — unbounded growth in postmeta, excessive revisions, expired transients, and orphaned rows accumulating across production sites. Existing “one-click” cleaners either hid what they were doing or took unsafe shortcuts. We needed a tool that exposed table-level metrics, quantified bloat, and provided deterministic, auditable cleanup actions.
MonsterCleaner implements a transparent scan → act → verify workflow. It surfaces table-based reporting, granular cleanup modules, and schedulable maintenance jobs designed to run safely on live sites.
MonsterCleaner implements a transparent scan → act → verify workflow. It surfaces table-based reporting, granular cleanup modules, and schedulable maintenance jobs designed to run safely on live sites.