n8n vs Make vs Zapier: choosing an automation platform

Comparisons of these three usually reduce to a feature grid and an integration count. Both are close to useless for the actual decision, because all three cover the common business tools and any of them can call an arbitrary API over HTTP.

The decision is driven by four things that rarely appear in a comparison table: pricing model, data residency, complexity ceiling, and error handling.

The comparison that matters

Pricing models are not comparable at face value. Per-task and per-operation count different things — one workflow step can be several operations — so headline prices tell you very little. All three change pricing periodically; check current figures directly rather than trusting any comparison article, including this one.

Choose by use case, not overall

There is no overall winner, and any comparison that names one has stopped paying attention to the question.

Choose Zapier when

• Non-technical people will build and maintain the workflows. This is Zapier's genuine advantage and it is worth real money. The interface is the clearest of the three and the mental model is the simplest
• Volume is low and predictable — the per-task model is fine here and the simplicity is free
• Workflows are linear. Trigger, two or three actions, done. Zapier handles this cleanly and adding complexity is where it starts to struggle
• Speed to first working automation matters more than long-run cost

Choose Make when

• Workflows need real branching, iteration or error routes. Make's visual model handles complexity that becomes unwieldy in Zapier
• You are transforming data, not just moving it — reshaping payloads, aggregating, iterating over arrays
• Volume is moderate to high and per-task pricing has become uncomfortable
• You want visual clarity at complexity. A Make scenario with fifteen modules is still readable; the Zapier equivalent usually is not

Choose n8n when

• Data cannot leave your infrastructure. Regulatory or contractual constraints make this decisive, and it is the one requirement only n8n satisfies
• Execution volume is high enough that per-execution pricing dominates. Self-hosted removes the variable cost entirely
• You need arbitrary code inside a workflow, not just what the platform's expression language allows
• Workflows should live in version control. n8n workflows are JSON, so they can be committed, reviewed and diffed like anything else — which matters more than it sounds once you have thirty of them
• Somebody will own the hosting. This is the condition. Without it, choose one of the others

Choosing the platform is the easy part; mapping the process it will run is where automations actually succeed or fail, which is

the workflow automation work that follows.

Where the option we do not recommend is genuinely better

Zapier, despite being the most expensive at volume, is the right answer more often than a technical evaluation concludes. If the person maintaining the workflow is in operations rather than engineering, a platform they can debug themselves at higher cost beats one that needs an engineer at lower cost. Cheaper software that creates a dependency on scarce people is not cheaper.

Make, despite lacking self-hosting, is often better than n8n for teams without infrastructure capability. Self-hosted n8n that nobody patches is a liability, not a saving.

n8n's cloud offering is worth considering when you want its capability without the hosting responsibility, which removes its cost advantage but keeps its flexibility.

What actually breaks in production

Evaluations focus on building the happy path. Production is about everything else, and this is where the three differ most.

The last row is the one that costs money. An automation that stops working silently is worse than one that never existed, because the process it replaced has been dismantled and nobody is watching. Whatever you choose, the first thing to build after the workflow is the alert that fires when it stops.

n8n gives the most control here — arbitrary error handling and custom logic. Make's error routes are good and visual. Zapier's are the most basic, which is part of the simplicity trade.

The decision, compressed

1. Must data stay in your infrastructure? → n8n, self-hosted. Decision made
2. Who maintains this? Non-technical → Zapier. Technical → continue
3. How complex are the workflows? Linear → Zapier. Branching and transformation → Make or n8n
4. What volume? Low → any. High → Make or self-hosted n8n
5. Will someone own hosting? Yes → n8n is cheapest at scale. No → Make

Most organisations that ask this question end up on Make or Zapier, and are right to. Self-hosted n8n is the best answer to a specific set of constraints, not a better tool in general.

What transfers if you switch

Nothing transfers directly between platforms — migration means rebuilding. What transfers is the process design: the trigger, the conditions, the actions, the error paths, the edge cases you discovered in production.

If that lives only inside the platform, you are more locked in than the pricing page suggests. If it is documented separately — as a process map — rebuilding is a few days rather than a project. That documentation is worth writing regardless of which platform you choose, and it is the thing most teams skip.

Still deciding?

We run this evaluation with clients regularly, against their actual constraints rather than a feature grid.

Talk it through: AI AutomationAsk a question