n8n vs Zapier vs Make: What I Recommend to Small Businesses
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The short answer: Zapier if you’re non-technical and need a handful of simple automations, Make if you want the most visual power for the money, and n8n the moment your volume grows, your workflows get complex, or you care where your data lives. The reason is billing, not features — Zapier and Make charge for every single step your automations run, while n8n counts per workflow run no matter how many steps it has.
I build automations for small businesses — most of them on n8n — and pricing is rarely why clients come to me; it’s the bill that arrives after automation starts working. Here’s the honest three-way comparison, focused on how each one bills, because that is what decides the cost. I leave plan prices out on purpose: they change often, so check each vendor’s pricing page for current numbers.
The three platforms at a glance
| Platform | Billing unit | Cost direction at volume | Best for |
|---|---|---|---|
| Zapier | Task = every action step | Typically higher | Non-technical teams, simple 2–5 step automations |
| Make | Credit = every module run | Typically lower | Visual builders on a budget, branching logic |
| n8n | Execution = one full workflow run | Typically lower; server cost only if self-hosted | Growing volume, complex logic, AI agents, data privacy |
Zapier and Make both ship a wide range of ready-made app connections, while n8n covers the rest with its HTTP Request node, which talks to anything with an API.
How does each platform charge you?
This is the part most comparisons bury, and it decides everything at scale:
- Zapier bills tasks. Every action step in a Zap consumes a task each time it runs (triggers and some built-in tools are free). A 5-step Zap that fires 100 times uses several hundred tasks.
- Make bills credits. Every module run costs one credit — same per-step economics as Zapier, at a much lower price per unit. Make now calls these units credits, partly so AI features can bill variable amounts.
- n8n bills executions. One run of one workflow is one execution, whether the workflow has 3 nodes or 50. n8n’s own docs spell it out: it doesn’t matter how many steps are in the workflow — it’s still a single execution.
What does the same workload cost on each?
Take a realistic small-business workload: a 5-step automation (new lead → enrich → CRM → email → notification) running 2,000 times a month, which is about 10,000 billable actions on a per-step platform:
| Platform | What that workload counts as | Cost direction |
|---|---|---|
| Zapier | 10,000 tasks, which pushes you into the higher plan tiers | Typically higher |
| Make | 10,000 credits, which fits an entry-level plan | Typically lower |
| n8n Cloud | 2,000 executions, which fits an entry-level plan | Typically lower |
| n8n self-hosted | Unlimited executions on your own server | Server cost only |
Two honest caveats. Zapier doesn’t publish exact prices at higher volumes, so use the slider on their pricing page to get your own number for your workload. And self-hosting n8n isn’t free in practice: a basic server is cheap, but a production-grade setup with a proper database, backups and monitoring costs more, plus someone’s time to maintain it.
Where does Zapier still win?
Zapier earned its position. Nothing gets a non-technical person from zero to a working automation faster: pick a trigger, pick an action, done in ten minutes. Its wide range of ready-made connections means the tool your industry uses may well have a native one, and its AI additions — Copilot for building Zaps in plain English, plus Zapier Agents — are genuinely useful for teams with no developer in the room.
The catches: some advanced features, such as webhooks, depend on which paid plan you choose, code steps are limited, and per-task billing punishes success. Zapier is the right answer for a handful of simple, low-volume automations, and the wrong bill for anything that scales.
Where does Make shine?
In my experience Make offers excellent value for visual builders. Its visual canvas shows your whole workflow as a diagram, and it handles branching, filters, and loops that can be harder to build in simpler tools. On the same per-step model it is generally priced lower than Zapier, so compare current plans for your volume.
Its limits show up at the edges: custom code is less central than in n8n, so when your logic outgrows visual modules you may hit a wall, and complex scenarios can become sprawling diagrams that are hard to debug. For a budget-conscious business with a patient power user, Make is a genuinely great pick.
Why do I keep recommending n8n?
Because it’s the one of the three that grows with a business instead of billing it harder. The execution-based pricing is half the story; the other half is ceiling. n8n’s Code node runs full JavaScript or Python. Its AI Agent nodes are built on LangChain and work with any model — OpenAI, Claude, Gemini, or a local model via Ollama — which makes it the strongest platform of the three for the AI-agent workflows businesses actually ask me for now. Debugging is a different sport: full run history where you can replay a failed run from the failing step, instead of guessing from a log line.
And it’s the one of the three you can self-host. For EU clients, that single fact often decides the comparison: customer data flows through your own server, not a third-party cloud. It is actively maintained with frequent releases, so this isn’t a bet on an abandoned tool.
n8n strengths
- Executions, not per-step billing — costs stay flat as workflows grow
- Full JS/Python code node + HTTP node = connect anything with an API
- LangChain-based AI agents, any model incl. local Ollama
- Self-hostable — data privacy and GDPR control no SaaS can match
n8n honest downsides
- A steeper learning curve than the other two — JSON and expressions await
- Fewer native one-click integrations than Zapier
- Self-hosting makes updates, backups, and uptime your job
- Fair-code license, not OSI open source — you can’t resell it as a hosted service
That last point deserves a plain sentence: n8n’s Sustainable Use License makes it free to self-host and use for your own business, but it is not technically open source, and you can’t white-label it as your own product. For internal business automation — which is what small businesses actually do — the license changes nothing.
Which one should your business pick?
- Pick Zapier if nobody on the team is technical, your volume is low, and the apps you use are mainstream. Simple, fast, done.
- Pick Make if you’re budget-conscious, someone enjoys visual builders, and your workflows need branching logic but not custom code.
- Pick n8n if your volume is growing, you want AI agents, your logic needs real code, or your data shouldn’t live in someone else’s cloud. Start on n8n Cloud for zero maintenance, or go self-hosted for unlimited executions at server-only cost — you can grab it via my n8n link.
Whichever you choose, start with one painful, repetitive process — lead routing, invoice chasing, report compilation — and automate it end to end before adding more. Automation rarely lives alone, either: it usually connects your website, CRM, and marketing stack, so if the website side of that equation needs work too, my guide to what a custom WordPress site costs covers what drives the budget, and the project cost calculator gives you an instant estimate for the whole build.
Want automations that just run?
I design and build n8n workflows for small businesses — lead routing, AI agents, CRM syncs, and reporting — self-hosted or cloud, documented and handed over properly.
Frequently Asked Questions
The self-hosted Community edition is free with unlimited workflow executions — you only pay for the server it runs on. n8n Cloud, the managed option, is a paid subscription with a monthly execution allowance. The one licensing catch: it’s free for your own business use, but you can’t resell n8n itself as a hosted service.
For simple, low-volume automations run by non-technical users, Zapier is better — easier to learn, with a very wide range of ready-made connections. As volume grows, or when workflows need real logic, code, or AI agents, n8n usually wins decisively: it bills per workflow run instead of per step, so the same workload can cost a fraction as much.
A basic setup runs on a small server with Docker and very modest resources, so the hosting bill is small. A production-grade setup (dedicated Postgres database, automated backups, HTTPS, monitoring) costs more and needs occasional maintenance time. If you’d rather skip the DevOps, a one-time professional setup gets you unlimited executions without the learning curve.
Yes, though it’s a rebuild rather than an import — there’s no one-click migration. In practice most Zaps map across directly: the same triggers and actions exist as n8n nodes, and anything without a native integration is covered by the HTTP Request or Webhook nodes. A typical small-business set of 10–20 Zaps takes a few days to migrate and test properly.
They’re the same idea with different price tags: one credit or task is consumed by every module or action step each time it runs. The economics differ hugely, because Make’s credits are far cheaper per unit than Zapier’s tasks. Neither works like n8n’s executions, which count whole workflow runs regardless of step count.
Tool debates are fun, but the automation that helps your business is the one that actually gets built. If you want a second opinion on which platform fits your stack — or want the workflows built and handed over working — book a free consultation and bring your most repetitive process.


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