- Pick Zapier if you are non-technical and want automations live the same day. Pick n8n if you are technical, run high volume, or need to self-host. Make sits in the middle for people who want visual building with more logic than Zapier and no server to manage.
- The billing model matters more than the sticker price. Zapier charges per task (every step counts), Make charges per operation, and n8n charges per workflow execution (the whole run counts once). At 10,000 runs of an 8-step workflow, n8n Cloud lands around $50 per month versus $250 to $400 or more on Zapier.
- n8n is the only one of the three you can self-host, which keeps document contents, credentials, and execution logs inside your own server.
- Zapier connects to more than 8,000 apps out of the box. n8n ships around 1,000 native integrations but reaches almost any public API through its HTTP node.
- Budget a 2 to 4 week learning curve on n8n against same-day productivity on Zapier. If nobody on your team is comfortable with JSON and APIs, that flexibility turns into a liability.
The honest answer to n8n vs Zapier comes down to two questions: who is building your automations, and how much do you plan to run them. That is the whole decision. Everything else is detail people argue about to avoid answering those two.
The reason the debate exists at all is money. Zapier counts every step in a workflow as a separate task, while n8n counts an entire workflow run as one execution. For complex, high-volume automations that difference compounds into an 80 to 90 percent cost gap, which is why so many teams start on Zapier and quietly migrate later.
Where I sit: I run Awilix on n8n. The internal systems behind this agency, from lead routing to reporting, sit on a self-hosted n8n instance, so this is not an affiliate roundup written from a spec sheet. Below is how the three tools actually differ, what the pricing really costs, and how to pick without regretting it in six months.
The short answer: which one to pick
Most of these comparisons bury the decision under twenty feature rows. Here is the version I give clients on a call.
- Choose Zapier if you are non-technical, you want the widest app catalog, and you value getting something running today over per-run cost. It is the fastest path from idea to working automation.
- Choose Make if you like a visual canvas, you want branching logic and data handling that Zapier makes awkward, and you still do not want to touch a server. It is the sensible middle.
- Choose n8n if you are technical (or have someone who is), you run automations at volume, you need to self-host for data control, or you are building real AI agent loops. It is the operator's choice, and the cheapest at scale.
If you are weighing this because you are shopping for help rather than a tool, the criteria are different, and I wrote a separate breakdown on choosing an automation partner that covers what to look for and what to avoid.
How the three tools actually differ
Zapier, Make, and n8n solve the same core problem, connecting apps so work happens without a human clicking, but they make opposite bets on who the user is. Zapier bets on the marketer. n8n bets on the builder. Make bets on the person in between.
| What matters | Zapier | Make | n8n |
| Best for | Non-technical teams, speed | Visual builders wanting more logic | Technical teams, volume, control |
| Native integrations | 8,000+ | 2,000+ | ~1,000 (plus any public API via HTTP) |
| Billing unit | Per task (every step) | Per operation | Per workflow execution (whole run) |
| Self-hosting | No (cloud only) | No (cloud only) | Yes (free community edition) |
| Learning curve | Same day | A few days | 2 to 4 weeks |
| Custom code | Limited | Some | Full JavaScript and Python inside a node |
| AI agent workflows | Basic | Growing | Native AI Agent node, 70+ AI nodes |
The integration gap looks decisive until you read the fine print. Zapier's 8,000 connectors win for the long tail of niche SaaS apps. But n8n's HTTP node calls any service with a public API, so in practice the ceiling is much higher than the native count suggests. The tradeoff is effort: with Zapier the connector is prebuilt, with n8n you sometimes wire it yourself.
The quiet differentiator is code. Zapier and Make let you script in small, sandboxed doses. n8n lets you drop full JavaScript or Python into any step, which is the difference between automating a task and building a system. If your workflows involve reshaping data, calling internal endpoints, or logic that does not fit a dropdown, that gap decides everything. This is also why teams that started by automating content publishing on Zapier tend to outgrow it once the logic gets real.
Pricing: why the billing model beats the sticker price
Every one of these tools has a cheap-looking entry plan. The trap is that the entry price tells you almost nothing about what you will actually pay, because the three platforms count usage in completely different units.
- Zapier bills per task. Every single step in a Zap is a task. A 5-step Zap that runs 1,000 times burns 5,000 tasks, not 1,000. Complexity and volume multiply against you at the same time.
- Make bills per operation. Each module that fires in a scenario is an operation, so it behaves like Zapier's model but usually at a lower unit cost, which is why Make often undercuts Zapier on the same workflow.
- n8n bills per execution. The entire workflow run counts as one execution no matter how many nodes it contains. A 20-node workflow running 1,000 times is 1,000 executions, full stop.
Put real numbers on it and the gap stops being abstract. For 10,000 monthly runs of an 8-step workflow, n8n Cloud runs about $50 per month, Make lands roughly $150 to $200, and Zapier climbs to $250 to $400 or more. n8n Cloud starts at $20 per month for 2,500 executions with unlimited steps, and the self-hosted community edition is free beyond the $5 to $15 you pay a VPS.
The rule I use: if your workflows are simple and low-volume, sticker price wins and Zapier or Make are fine. The moment your automations get multi-step and run thousands of times a month, the per-execution model is the only one that does not punish you for building well. That is the whole reason we sit on n8n's per-execution pricing internally.
The learning curve and setup reality
This is the part the pricing tables skip, and it is where most tool decisions actually go wrong. The cheapest platform is worthless if it sits unused because nobody can build in it.
- Zapier: same-day. The guided, step-by-step interface means a marketer with zero technical background can ship a working automation within an hour of signing up. This is its real moat, not the integration count.
- Make: a few days. The visual canvas is more powerful and more busy. You trade some of Zapier's hand-holding for branching, iterators, and better data handling.
- n8n: two to four weeks. It expects comfort with JSON, APIs, and the occasional line of JavaScript. In the right hands that is a superpower. In the wrong hands it is a stalled project and a frustrated team.
Be honest about your team before you optimize for cost. I have watched companies pick n8n purely on the pricing math, then leave it half-configured because the one person who understood it got busy. A working Zapier automation beats a theoretical n8n one every time. If nobody on staff is comfortable in a node-based canvas, either budget for training or hand the build to someone who lives in these tools.
How I actually use n8n at Awilix
I did not pick n8n because of a comparison article. I picked it because the agency runs enough automations that the per-task math on Zapier would have been absurd, and because I did not want client data passing through a third party's servers when I could keep it on my own.
The self-hosting point is underrated. On a self-hosted instance, document contents, API credentials, and execution logs never leave your infrastructure. For anyone handling client data, that is not a nice-to-have, it is the difference between a defensible setup and a compliance conversation you do not want to have. Zapier and Make are cloud-only, so every payload passes through their servers by design.
Where I would still reach for Zapier: a quick one-off between two mainstream apps, or a workflow a non-technical teammate needs to own and edit themselves. There is no ego in tool choice. The goal is the outcome, and sometimes the outcome is faster on the tool that needs no server. The automation systems we build mix and match on exactly that logic.
The bottom line: n8n is where automation stops being a collection of Zaps and becomes a system you own. That is worth the learning curve if you run at volume or care about data control, and it is overkill if you just need two apps to talk.
If you want a second opinion before you commit, tell me what you are trying to automate and I will tell you which of the three I would use and why. That costs nothing and takes a few minutes, so book a quick call and bring your messiest workflow.
Frequently Asked Questions
Can I migrate my Zapier workflows to n8n?
There is no one-click import, so migration means rebuilding each workflow node by node in n8n. The logic usually maps cleanly, but you will re-authenticate every app connection and re-test each run. Move your highest-volume, most expensive Zaps first, because those are where the per-execution pricing pays back the rebuilding effort fastest.
Is self-hosted n8n safe for client data?
Self-hosting is often more secure than a cloud tool, because the data never leaves your server, but the responsibility shifts to you. You own the updates, backups, access control, and encryption that a SaaS vendor would otherwise handle. Run it behind proper authentication, keep the instance patched, and restrict who can see credentials, and it is a strong setup for sensitive workflows.
Which is cheapest for a small business just starting out?
At low volume, the free and entry tiers matter more than the per-run math. Make's free plan and Zapier's starter tier let you run early automations for little or nothing, and both are faster to set up than n8n. n8n only becomes the clear cost winner once you are running thousands of multi-step workflows a month, so start simple and switch when the volume justifies it.
Which tool is best for building AI agents?
n8n leads here. Its 2.0 release added a native AI Agent node with tool calling, memory, and agent loops, plus 70+ AI nodes and support for self-hosted language models across the major providers. Zapier and Make both offer AI steps, but for real agentic workflows where the model plans and calls tools on its own, n8n gives you the most control and the option to keep the whole loop on your own infrastructure.