n8n vs Make vs Zapier in 2026: a decision guide for 5–100 person companies

All three platforms can build the same lead-to-CRM flow. The differences show up at month six: the bill, the error you did not see, and the person who has to change it after the builder has moved on. We build on all three and migrate between them regularly, so this is a guide to the decision rather than a list of features that will be out of date by spring.

Start with four questions, not with the tools

1. Volume. How many runs a month, and how spiky? Hundreds, tens of thousands, or millions?
2. Complexity. Straight lines, or branching, loops, retries and waiting for people?
3. Who maintains it. An operations person who wants a visual editor, or a developer who wants version control?
4. Where data may live. Any cloud is fine, or does it need to stay in your own environment?

Zapier: breadth and simplicity

Zapier’s strength is still the size of its app library and how quickly a non-developer can wire two tools together. For low-volume, low-complexity flows — a form to a CRM, a Slack alert, a sheet row — it is the fastest route to something working. Its weaknesses are cost at volume, limited error handling in simpler plans, and flows that grow into a dozen zaps nobody can see as one process.

Choose it when: volume is modest, the team is non-technical, and the apps you need have polished Zapier integrations.

Make: complex branching at lower cost

Make’s visual scenario builder handles routers, iterators, aggregators and error handlers well, and its operation-based pricing is usually kinder than Zapier’s at the same volume. It rewards people who think in diagrams and punishes scenarios that are never named or documented. Debugging is good; the mental model takes a week to learn.

Choose it when: flows branch and loop, you want one screen per process, and cost per run matters.

n8n: self-hosted, code-friendly, high volume

n8n can be self-hosted on your own server or cloud account, which changes two things: data never leaves your environment, and cost stops scaling with runs. It is comfortable with code nodes, webhooks, queues and AI workflows, and it lives happily in version control. The trade is that someone has to run it — updates, backups, monitoring — or pay for n8n Cloud.

Choose it when: volume is high, data residency matters, developers are involved, or the platform bill has become a line item.

Side by side, the way we score it

Migration: when we move clients

The usual triggers are a rising bill, a failure nobody noticed for a week, or a compliance question about where data goes. A migration is a good moment to fix the real problem, which is rarely the platform: unnamed flows, no error handling, no owner. We rebuild with a naming convention, error routes, logging and a monthly review — and only then choose the platform. Sometimes the answer is to stay.

What matters more than the platform

• Every flow has a name, a description and an owner.
• Every flow has an error route that alerts a person and holds the failed item for replay.
• Steps that write data are idempotent — running twice never duplicates.
• Someone reviews the operations count and the error log monthly.
• The build lives in your account, with documentation, so you can change vendors.

Those five lines are the whole difference between an automation that works in a demo and one that still works in a year. They are also what every build of ours includes.