n8n vs Make vs Zapier: an honest comparison for 2026

We have no favourite. We build on n8n, Make and Zapier every week, and the right choice depends far more on your team and your workflow than on any feature checklist. Here’s how we actually decide.

The one-line summary

• Zapier — the fastest way to connect two tools. Best for simple, linear automations that non-technical teams will own.
• Make — a visual canvas with real branching, iterators and data manipulation. Best for mid-complexity scenarios at sensible cost.
• n8n — a developer-friendly workflow engine you can self-host. Best for complex logic, high volume, code steps, AI agents and data that must stay on your infrastructure.

Complexity

Zapier has improved enormously with paths, filters and formatter steps, but long multi-branch Zaps become hard to read and harder to debug.

Make shines when a scenario needs routers, iterators, aggregators and error handlers. You can see the data flow, which makes reviews and handovers easier.

n8n handles everything Make does and adds first-class code nodes, sub-workflows, proper loops and version-controllable JSON definitions. When an automation starts to look like software, we treat it like software — and n8n lets us.

Volume and cost

Pricing models change, so check current plans — but the shape has stayed consistent:

• Zapier bills per task (each successful action). High-volume workflows get expensive quickly.
• Make bills per operation, generally at a much lower unit cost, which is why we often move heavy Zaps to Make.
• n8n Cloud bills per workflow execution regardless of steps, and self-hosted n8n costs only the server you run it on.

Hosting and data ownership

If your data can’t leave your infrastructure — health, finance, legal, or simply a strict security policy — n8n is the only one of the three you can run entirely on your own servers. We typically deploy it with Docker on the client’s cloud account, backed by Postgres, with automated backups.

Reliability

All three can be reliable if you design for failure. Whatever the platform, our builds include:

• Error branches on every external call
• Retries with backoff for flaky APIs
• Idempotency so a re-run never creates duplicate records
• Alerts with the failing payload sent to Slack or email
• Execution logs retained long enough to debug

The platform matters less than the discipline.

Who maintains it?

This is the question people forget. If a marketing ops manager will own the automation, Zapier or Make is usually right — they can open it, understand it and adjust it. If an engineering team will own it, n8n’s code nodes and Git-friendly exports fit their workflow better.

Our default choices

• Two tools, a handful of steps, owned by a non-technical team: Zapier.
• Multi-step business process with branches and data shaping: Make.
• AI agents, complex logic, high volume, self-hosting or code: n8n.

Not sure which fits? An automation audit maps your processes and recommends the right platform per workflow — including the ones you shouldn’t automate at all.