I teach n8n on Udemy, and my free Stepthrough lessons cover Make and Zapier too, so I’m not here to tell you one tool always wins. This is how I’d choose for a business that’s past its first few automations and starting to feel the bill, the limits, or both.
The business question first
Most teams don’t arrive asking “which tool?” They arrive with a symptom. The automation bill jumped. A workflow broke and nobody knows why. Or the next idea needs an AI step, a loop or a custom API call that the current tool makes awkward.
So the useful question isn’t which tool is best. It’s which tool fits how your business will use automation over the next two years. That comes down to three things: how many steps your workflows have and how often they run, how technical the person who owns them is, and how much control you need over your data.
The 30-second version
- Zapier is the fastest way for a non-technical person to connect two apps. It has one of the largest app catalogs, and simple Zaps are hard to get wrong.
- Make is a visual builder with more room for branching, routers and data shaping than Zapier, and for many workloads it costs less per step.
- The most flexible of the three is n8n. It handles complex logic, code when you need it, AI agents and custom APIs, and it’s the only one of the three you can self-host.
How each one charges (this matters more than the sticker price)
Plan prices are easy to compare. The billing unit is what decides your bill as you grow, because it tells you what a long workflow costs compared with a short one.
| Tool | What you’re billed on | Rough cost of one run of a 10-step workflow |
|---|---|---|
| Zapier | Tasks. A task is counted when an action step completes successfully. Triggers, polling, and built-in tools like Filter and Formatter don’t count, and some AI-powered actions can cost more than one task. | About 9 tasks (one per action step) |
| Make | Credits, which replaced operations as Make’s billing unit. Modules use credits as they run, and some advanced AI features use more. | About 10 credits, or more with AI modules or loops |
| n8n Cloud | Workflow executions. One execution is one full run, regardless of how many steps it has. | 1 execution |
| n8n self-hosted | Your own server costs. A standard self-hosted version is published on GitHub. | No per-run fee from n8n |
That’s why the gap between the tools widens as workflows get longer. A two-step “new form entry, then Slack message” costs about the same everywhere. A 15-step lead-routing flow that runs 3,000 times a month is a different story. On Zapier that’s around 42,000 tasks (14 action steps times 3,000 runs), and on n8n Cloud it’s 3,000 executions.
Where each one wins
Zapier: speed and reach
If the person building automations is in sales or ops, not IT, Zapier gets them to a working result fastest. The app catalog is huge, the setup screens are guided, and filters and formatters don’t use tasks. For a handful of short Zaps, the cost is reasonable and the time saved is real.
Where it strains: long, branching workflows with a lot of volume. Every action step adds to the task count. Complex logic is possible, but it gets harder to read and maintain.
Make: visual power at a lower cost per step
Make’s canvas shows the whole scenario at once, with routers, iterators and error handlers you can actually see. It suits ops people who think visually and want more control than Zapier gives them, without writing code.
Where it strains: credits still add up per module, so a scenario that loops over hundreds of rows uses hundreds of credits. Some teams also find big scenarios hard to hand off to the next person.
n8n: control, AI and cost at scale
This is the tool I build with most, and the reasons are practical. One execution covers a whole run, so long workflows don’t get punished. You can drop into JavaScript or Python in a Code node when a built-in node doesn’t do quite what you need. The AI Agent, Text Classifier and Information Extractor nodes make it straightforward to put a model inside a real business process. And you can self-host it, so customer data stays on your own servers.
Where it strains: the learning curve is steeper for non-technical owners, and self-hosting means someone owns updates, backups and security. If nobody on your team will touch the workflows after launch, plan for that support.
A simple way to decide
- Fewer than ten short automations, owned by a non-technical person: stay on Zapier or start there.
- Medium-complexity workflows, a visual thinker in charge, cost starting to matter: look hard at Make.
- Long or high-volume workflows, AI steps, custom APIs, or data that must stay in-house: use n8n, on Cloud or self-hosted.
- A mix: that’s fine. Plenty of businesses keep simple Zaps in Zapier and move the heavy, expensive workflows to n8n. Migrate the costly ones first.
What a switch actually involves
Moving from Zapier or Make to n8n isn’t an import button. Each workflow gets rebuilt. That’s usually a good thing, because it’s a chance to merge three Zaps that do one job, add proper error alerts and drop steps nobody needs anymore.
The safe way is to run the new workflow next to the old one for a week, compare the outputs, then switch off the old one. Start with the workflow that costs the most each month. That gives the quickest payback and shows your team whether n8n fits before you move everything.
Where I come in
I’m an n8n consultant and a Udemy n8n instructor with about 15,000 students. When a business asks me to compare tools, I start with their actual workflows and volumes, not a feature checklist. Sometimes the answer is “stay where you are and clean up three Zaps.” Sometimes it’s a phased move to n8n.
If you’d like a second opinion on your setup, see how I work as an n8n developer, look at my services, or get in touch with a short list of what you automate today.
Frequently asked questions
Is n8n cheaper than Zapier?
For long or high-volume workflows it often is, because n8n Cloud bills one execution per full workflow run, while Zapier bills a task for each successful action step. For a few short two-step automations, the difference is small.
Which is easiest for a non-technical team?
Zapier is usually the quickest to learn for simple app-to-app automations. Make suits people who think visually. n8n has a steeper learning curve but the most flexibility, and it is the only one of the three you can self-host.
Should I move everything from Zapier to n8n?
Not necessarily. Many businesses keep simple Zaps and move only their longest or most expensive workflows to n8n. Start with the costliest one and run old and new side by side for a week.
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