Performance issues with large tables are common when processing thousands of rows simultaneously.
Try these solutions:
Immediate fix: Hard refresh your browser:
** Mac: Command + Shift + R (Chrome/Firefox) or Option + Command + E (Safari)
** Windows: Ctrl + F5 or Ctrl + Shift + R
Process in smaller batches: Break your 4,000 rows into smaller chunks of 50-500 rows at a time to reduce processing load.
Check API limits: If using external APIs, lower tier limits may require processing smaller batches (around 50 rows).
Performance issues are more likely with larger tables and complex workflows.
Hey,
Sorry about the slowdown. Just checking—were you running any other actions in the destination table at the same time, or was it only the Write to Other Table step? do yRunning multiple actions in parallel can affect performance.
Let me know and I’ll help you narrow it down.
Tables Experiencing Slow Performance with 4K Row Writes | Clay