n8n vs Make vs Zapier: Choosing an Automation Tool in 2026
Use Zapier for simple linear flows between popular apps when speed of setup matters most. Use Make when the logic needs branching and you want more control per operation. Use n8n when volume makes per-task pricing painful, or when you need to self-host. All three are good; the pricing model is usually what decides it.
These tools are more similar than their marketing suggests. All three connect apps, run on triggers, and handle the common cases well. The differences that matter in practice are how they charge, how much branching logic they tolerate before becoming unreadable, and whether you can run them on your own infrastructure.
- Pricing model matters more than features. Per-task billing compounds at volume.
- Self-hosting is n8n’s real differentiator — control and cost, in exchange for running it.
- All three become hard to maintain past a certain complexity. That is the point to write code.
- None of them replaces error handling. You still have to design what happens when it breaks.
The comparison
| Factor | Zapier | Make | n8n |
|---|---|---|---|
| Setup speed | Fastest | Fast | Slower, especially self-hosted |
| App integrations | Largest library | Large | Good, plus generic HTTP for anything else |
| Complex logic | Limited | Strong visual branching | Strong, plus code nodes |
| Pricing shape | Per task — bites hardest at volume | Per operation — generally cheaper per unit | Free self-hosted; paid cloud |
| Self-hosting | No | No | Yes |
| Data residency control | Vendor-controlled | Vendor-controlled | Yours, if self-hosted |
| Who can maintain it | Anyone | Anyone comfortable with flowcharts | Someone technical |
The pricing trap
The usual surprise is volume. An automation that costs very little at a hundred runs a month can be uncomfortable at fifty thousand, because per-task billing scales linearly with your success. Before committing to a per-task tool for anything high-volume, work out the cost at the volume you expect in two years — not the volume you have today. That single calculation is what moves most businesses to self-hosted n8n or to code.
When none of them is right
When the flow has grown to thirty nodes and nobody can follow it. When the logic depends on state across runs. When it is business-critical and needs proper testing and version control. At that point you are writing software in a visual editor that was not designed for it, and moving to code is cheaper than continuing — the tool has done its job by proving the process was worth automating.
Frequently asked questions
Which is cheapest?
Self-hosted n8n has no licence cost, but you pay in hosting and maintenance, so it is only cheapest above a certain volume. Below that, Zapier or Make on a modest plan usually costs less than the time spent running your own instance.
Can we move between them later?
Not automatically — there is no export that works across platforms, so a migration means rebuilding. That is an argument for thinking about volume early, and for documenting what each automation does independently of the tool.
Is self-hosting n8n difficult?
Running it is straightforward with containers. Running it reliably — backups, upgrades, monitoring, securing the credentials it holds — is a real responsibility, and it holds keys to every system it touches. Treat it as infrastructure rather than as an app.
Do these tools handle AI?
All three can call a model API, and n8n has the most built-in support. For a simple step that is fine. For anything where quality matters, you will want retrieval, evaluation and error handling that sit awkwardly in a visual editor.
We work with all three and will recommend the cheapest thing that does the job — see AI automation.
