n8n, Make or Zapier: which one to automate a business
An honest comparison of the three main automation platforms — and the cases where none of them is enough.
Every automation project meets this question early: which platform? The three usual candidates — Zapier, Make, n8n — all connect your tools and move data between them. They differ on price at scale, on control, and on where your data travels. Here is the comparison we give clients, including the part where we say which one we use and why.
The honest comparison
- →Zapier: the fastest to learn and the largest catalogue of connectors. Excellent for a first automation. But pricing grows with every task executed — at real business volume, the bill becomes hard to defend.
- →Make: visual scenarios, more powerful logic than Zapier, better value at medium volume. Still a cloud service: your data transits through their infrastructure, on their terms.
- →n8n: self-hostable — it runs on your servers or on European hosting you choose, which settles the GDPR and data-control question by architecture. Steeper to start, and someone has to operate it, but no per-task pricing surprise and full access to extend it with code.
Our choice for business deployments, and why
For company deployments we build on n8n. Not because it is fashionable — because it is the only one of the three where the client can own the infrastructure, keep the data at home, version the workflows like code, and keep everything if we ever part ways. Those are the properties a DSI actually asks about. For a solo founder wiring two SaaS tools together, Zapier remains the pragmatic answer.
When none of the three is enough
Connector platforms excel at moving structured data between tools. They struggle when the work requires judgment on unstructured content — reading an ambiguous email, deciding an escalation, writing a correct reply — or when volumes and reliability requirements exceed what a visual workflow can express. That is where custom code and supervised AI agents take over, often with n8n still handling the plumbing around them.
The useful test: describe your process as « when X happens, do Y ». If X and Y are both structured and unambiguous, any of the three platforms will serve — pick by budget and data constraints. If describing X or Y forces you to write « it depends », you are past the platform stage, and no licence upgrade will fix it.