n8n vs Make vs Zapier: The Difference Nobody Explains Clearly
Most comparisons of n8n, Zapier, and Make rank them by price and interface -- a star rating for ease of use, a column of dollar signs for cost, a verdict at the bottom. That's answering a question nobody actually asked. The real differences are what happens to your costs as your usage grows, and who's actually stuck maintaining this thing in six months. Neither shows up on a feature checklist.
Here's the pattern once you notice it: every comparison lists the same surface facts -- Zapier has the most integrations, Make has a visual canvas, n8n is open-source -- and then ranks them as if those facts settle the question. They don't. Two companies with identical workflows can have completely opposite right answers, because the facts that actually decide it aren't on the list.
Zapier is the automation platform with the largest app catalog and the lowest setup effort -- built for connecting two apps together fast, with no technical skill required.
Make (formerly Integromat) is a visual, node-based automation builder -- more flexible than Zapier for branching logic, at a lower cost, with a moderate learning curve.
n8n is an open-source automation platform that can run in the cloud or fully self-hosted on your own infrastructure -- the most technical to set up, and the only one of the three with no per-execution cost at all when self-hosted.
Search a handful of these comparisons and you'll find the same structure every time: a table of features, a "best for" tag under each logo, and a recommendation that reads like it was written before anyone tested a real workflow. This isn't dishonest, exactly -- it's just answering the question that's easiest to answer in a table, not the question that actually determines whether the tool works for your team a year from now.
The honest version is less tidy: there is no universally "best" platform among these three. There's only the platform that fits your specific usage pattern and your specific staffing situation -- and both of those are things a generic comparison table can't know about you.
Most comparisons present pricing as a single number to rank -- Zapier: $$, Make: $, n8n: cheapest. That's wrong, because the three aren't priced on the same axis at all. They're three different economic structures, and which one wins depends entirely on how your specific workflows behave.
| Platform | What you're actually billed for | What breaks the economics |
|---|---|---|
| Zapier | Each individual task -- one step in a workflow, run once | A 10-step workflow running 1,000 times a month is 10,000 billed tasks, not 1,000 |
| Make | Each "operation" -- a different unit than Zapier's task, generally more generous per run | Still scales with volume, just at a gentler rate than Zapier's per-task model |
| n8n (self-hosted) | Server hosting cost only -- no per-execution charge at all | Nothing breaks the economics at volume; the cost is nearly flat as usage grows |
This is why a comparison that ranks these three by a single price point is answering the wrong question. The real question is: as your workflow complexity and volume grow, which pricing model bends and which one stays flat? For a company running a handful of simple, low-volume automations, none of this matters yet -- Zapier's simplicity wins outright. For a company running thousands of executions a month across multi-step workflows, the per-task model can turn a $50/month tool into a $2,000/month tool almost without anyone noticing until the invoice arrives.
Most comparisons frame this as an "ease of use" question -- a screenshot of the interface, a sentence about how many minutes it takes to build your first workflow. That's a UI question. The real question is a staffing question, and it's the one that actually determines whether n8n's cost advantage is real for your team or a trap.
Zapier and Make are both built so that a non-technical person can build and maintain a workflow indefinitely -- the visual interfaces genuinely don't require an engineer. Self-hosted n8n is different: someone needs to own the server, apply updates, and troubleshoot when something breaks at 2am on a weekend. If that person is a dedicated engineer, the tradeoff is easily worth it for the cost savings. If that person is "whoever set it up, who may or may not still work here," the cost savings are theoretical -- because the day that person leaves, you either have an automation nobody can touch, or you're paying someone to reverse-engineer it from scratch.
This is the part almost no comparison mentions explicitly: the cheapest option on paper is only cheapest if the maintenance question has a real answer, not an assumed one.
Before you pick based on a comparison table, answer these four questions honestly -- they take longer than reading a "best for" tag, but they actually predict whether you'll be happy with the choice a year from now:
Most companies can answer these four honestly in about ten minutes, and the answer is usually more decisive than any comparison table's verdict.
It depends on your usage volume and who's maintaining it, not which tool has the best homepage. Low-volume, simple automations with zero technical capacity: Zapier. Real volume with some engineering capacity and a preference for lower long-term cost: n8n, especially self-hosted. Somewhere in between, wanting more power than Zapier without n8n's setup overhead: Make. See our full side-by-side comparison for a structured breakdown against your specific situation.
The software is free and open-source with no per-execution cost. You pay for the server it runs on -- typically a small monthly hosting fee -- and for someone's time to set it up and maintain it. That last part is the real cost most comparisons leave out entirely.
Yes, and it's more common than most companies expect -- outgrowing Zapier's per-task pricing at volume, or Make's ceiling on complex branching logic, are both frequent reasons to migrate to n8n later. It's extra work, but it's not a permanent mistake.
What's your take -- has your team ever picked based on a comparison table and regretted it once real usage kicked in? Genuinely curious which of the two questions above actually bit you.
If you want the structured version -- a full side-by-side across pricing, complexity, and fit -- our n8n vs Zapier vs Make comparison walks through exactly how we scope this for clients.