
The Silent Database Growth Problem
How Execution Data Creates Performance Bottlenecks
The Hidden Cost of Automation Success
Every successful n8n workflow execution creates database entries:
- A single workflow running every minute = 1,440 database rows daily
- 10 workflows = 14,400 new rows daily
- Within months: millions of execution records
This exponential growth leads to:
- Database bloat consuming valuable storage
- Slowed query performance affecting all workflows
- Increased backup times and costs
- Eventual performance degradation requiring urgent intervention
Most organizations don't realize this problem until experiencing disruptions, forcing reactive, manual cleanup during critical periods.