Batch processing
Executing automation logic on a group of records at once rather than one at a time. Used for bulk email sends, report generation, and data migrations. More efficient than looping, but requires careful error isolation per record.
Expert insight
Batch size matters more than it looks like it should. A batch of 1,000 records sent to an API in one call often hits a payload size limit or a timeout that a batch of 100 wouldn't. The right batch size is whatever the receiving system's documented limits allow, found by checking the docs, not by assuming bigger is always more efficient.
In a real workflow
Every night, the day’s Shopify orders are processed in groups of 100 to update inventory forecasts and accounting in one pass.
Common mistakes
- Making batches so large that one bad record fails the whole run.
- Not recording which batch was processed, so a rerun duplicates data.
Complexity level
Requires some familiarity with automation concepts.
Related terms
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Guides that cover Batch processing
n8n Error Handling and Retry Logic: A Complete Guide (2026)
Most n8n workflows fail silently in production. A complete, code-level guide to building retry logic, dead letter queues, and alerting so your automations actually stay reliable.
Google Workspace Automation: 15 Workflows for Sheets, Drive, Gmail and Calendar
Google Workspace is where most businesses live, but almost nobody automates it beyond basic filters. These 15 n8n workflows connect Sheets, Drive, Gmail, and Calendar to create an automated operating layer for your entire business.
ComfyUI Workflows for Business: Product Photography, Marketing Assets, and Brand Safety
ComfyUI workflows are transforming how businesses produce visual content at scale, from product photography to marketing assets. This guide covers workflow output handling, batch generation, n8n integration, and critical NSFW filtering for brand safety.