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Comparison

n8n vs Make

Compare n8n and Make on pricing, self-hosting, complexity handling, AI capability and operations cost.

These two are closer competitors than n8n and Zapier. Both handle complex logic well, both are visual, and both are considerably cheaper than Zapier at volume.

The deciding factors are usually self-hosting and how your operations cost scales.

Side by side

How they compare

Criterionn8nMake
Pricing modelServer cost, unlimited executionsPer operation, each module counts
Self-hostingYesNo
Visual clarityGood; node-based canvasExcellent; arguably the best canvas available
Loops and arraysNative, no per-item costIterators — each item is a billable operation
App coverage~1,100 nodes plus HTTP~2,000 apps plus HTTP
AI capabilityNative LangChain, agents, vector storesAI modules, less depth
Code flexibilityFull JavaScript and Python nodesLimited inline functions
Best forTechnical teams, high volume, data controlVisual thinkers, moderate volume, no ops overhead
Verdict

What we'd tell you on a call

Choose Make when

You want a superb visual canvas, don't want to manage infrastructure, and your scenarios don't loop over large arrays. The interface is genuinely excellent for mapping complex flows.

Choose n8n when

You process large batches, need self-hosting, or want serious AI capability. Iterator-heavy Make scenarios are exactly where operation costs escalate fastest.

FAQ

Frequently asked questions

Why is our Make bill so high?

Almost certainly iterators. Each item processed in a loop is a billable operation, so a nightly job over 500 rows costs 15,000 operations a month. Aggregating and calling the destination in bulk usually fixes it.

Still not sure which to pick?

Book the free audit. We'll look at your actual volumes and complexity and tell you which platform fits — including when the answer is to change nothing.

No obligation · Reply within 1 business day · NDA on request