Make vs n8n vs Zapier: Which Should Your Firm Actually Buy?

Somebody on your team has built something useful in Zapier, it is now doing real work, and the bill has started climbing in a way nobody predicted. Or a consultant has quoted you a build and the quote names a tool you have never heard of. Either way you are being asked to pick a platform, and every comparison you can find online is written by somebody who sells one of them.

We run automation for clients on n8n every day, so treat this as an interested opinion rather than a neutral one. What I can offer that a review site cannot is the part that only shows up after a year: how each of these three behaves when the volume grows, when something breaks at two in the morning, and when you want to leave.

Here is what matters most:

• All three do the same core job. The differences that matter are cost behaviour at volume, where your data sits, and how hard it is to leave.
• Zapier charges per task run, so your bill scales with your success. This is the single most common unpleasant surprise.
• n8n can run on your own servers, which is usually the deciding factor for firms handling client-confidential documents.
• Make sits between the two on both price and complexity, and is the easiest of the three to build genuinely complicated logic in visually.
• The cheapest tool is rarely the cheapest outcome. Whoever maintains it matters more than which one you pick.

What all three actually do

All three connect software you already pay for, so that something happening in one place causes something to happen in another, without a person moving the information across. A form is submitted, a record is created, a file is filed, a message goes out, a spreadsheet updates. That is the job.

There is no meaningful capability gap between them for the kind of work most firms need. Anyone telling you one of these three simply cannot do your process is usually telling you what they personally know how to build. The differences are commercial and operational, not functional, and those are the ones that hurt later.

So the useful comparison is not a feature grid. It is three questions: what happens to the bill when this works, where does your client data live while it runs, and what does it cost you to change your mind in two years.

Zapier: fastest to start, most expensive to succeed

Zapier is the easiest of the three to begin with, and that is a real advantage. Somebody non-technical in your firm can build something genuinely useful in an afternoon, which means you learn whether the idea is worth funding before you spend anything serious.

The problem is the pricing model. Zapier charges based on how many times your automations run. That is fine while you are testing. It becomes a problem precisely when the thing works, because a successful automation runs more often, and every one of those runs is billed. Firms routinely discover this at the point where the automation has become load-bearing and switching is disruptive.

Worth being specific about how this sneaks up on you: a process that touches five steps often counts as five billed runs, not one. So the invoice does not grow in proportion to how much work you are automating. It grows in proportion to how thoroughly you automated it.

Zapier makes sense when the volume is genuinely low and predictable, when nobody in the firm can maintain anything more technical, or when you are testing whether an idea has value before committing to a build. It is a good place to prove something and a poor place to scale it.

n8n: cheapest at volume, and the only one you can host yourself

n8n is the tool we build on, so weigh this accordingly. Two properties make it the default for the work we do.

First, it can run on your own infrastructure. For a firm handling client-confidential material, this is frequently the whole decision. Your documents and client records stay inside your own cloud account rather than passing through a vendor's environment, which is the answer your security review is going to want, and the answer that is hardest to give with a hosted-only tool. It also means the system is genuinely yours. If our relationship ends, the automation keeps running.

Second, the cost does not scale with how often it runs. Self-hosted, you are paying for a server rather than per execution, so a process that runs two hundred thousand times a month costs roughly what one running two thousand times costs. That inverts the Zapier problem entirely.

The honest cost is that somebody has to look after that server: updates, backups, monitoring, and knowing what to do when it stops. That is a real, ongoing responsibility, and if nobody in your firm owns it, you need a vendor who does. Pretending this cost does not exist is how firms end up with an unpatched server running their client intake.

n8n also has a hosted version if you want the tool without the server responsibility, which removes the data-residency advantage but keeps the pricing behaviour.

Make: the middle, and genuinely good at complicated logic

Make sits between the two commercially and is, of the three, the nicest place to build something with genuinely complicated branching visually. If your process has a lot of conditional paths, different handling for six different case types, loops over lists, Make handles that in a way that stays readable on screen.

Its pricing is based on operations too, like Zapier, but it is generally cheaper per unit of work, so the volume cliff arrives later. It is hosted only, so the data-residency question is answered the same way Zapier answers it: your information passes through their environment, and whether that is acceptable is a decision for whoever signs off on your security posture.

Make is a reasonable default for a firm that wants more capability than Zapier, has no appetite for running a server, and is not handling material where data residency is the binding constraint.

The question nobody asks until it is too late

Here is what actually determines whether any of these three works out, and it is not on any comparison page.

When a step inside one of these tools fails, what happens next is something somebody configured. It is possible in all three to build an automation that fails quietly: the run finishes, the log looks healthy, and the work did not happen. We have done it to ourselves. One of our own workflows was pointed at a spreadsheet tab that did not exist. Every run recorded as successful. Not one row was written, and we did not find out for six weeks, because nothing was watching the outcome, only the run.

That failure mode is available in Zapier, in Make, and in n8n equally. It is not a property of the tool. It is a property of whether whoever built it thought about failure, put an alert on it, and checked that the thing written could be read back.

So when you are choosing between these three, the platform decision is worth maybe a quarter of the outcome. The rest is whoever builds and maintains it. A careful build on the wrong tool beats a careless build on the right one, every time.

How to actually choose

Handling client-confidential documents, or your security review has opinions about where data sits? Self-hosted n8n, and budget for somebody to own the server.

Testing whether an idea is worth anything at all, low volume, nobody technical available? Start on Zapier. Accept that you will migrate if it works, and treat the subscription as the cost of finding out cheaply.

Complicated conditional logic, no appetite for infrastructure, moderate volume? Make is the sensible middle.

Already on Zapier and the bill is climbing? Do not migrate everything. Move the two or three highest-volume automations, which is usually where most of the cost sits, and leave the long tail where it is. Wholesale migrations of this kind tend to stall halfway and leave you maintaining two systems.

One more thing worth saying plainly: whichever you pick, the work should sit alongside your team rather than replace part of it. The tool does the moving, filing and chasing. Your people keep the cases that need a judgement call. Any build that routes an ambiguous case to a machine instead of a person is storing up a problem for you.

FAQ

Is n8n actually cheaper than Zapier?

At meaningful volume, usually yes, and the gap widens as you automate more. Self-hosted n8n costs roughly what the server costs regardless of how many times your automations run, while Zapier bills per run. At genuinely low volume the comparison can go the other way once you include somebody's time to maintain a server, which is a real cost that a subscription hides.

Can we move from Zapier to n8n later?

Yes, but it is a rebuild rather than an import. The logic transfers conceptually and the connections to your other software mostly exist on both sides, but somebody has to reconstruct each automation. Budget for it as a small project. This is the argument for deciding data residency at the start rather than after you have forty automations running.

Which one is best for a non-technical team?

Zapier, clearly, for building it yourself. But be careful what that question is really asking. If nobody technical is involved at any point, nobody is monitoring whether the automation is still working, and that is the failure described above. A non-technical team can own what the automation should do. Somebody still needs to own whether it is still doing it.

Does self-hosting n8n mean we need a developer on staff?

Not necessarily on staff, but somebody must own it. That can be an internal technical person, a managed hosting arrangement, or the vendor who built it under a maintenance agreement. What does not work is assuming a server maintains itself, which is how firms end up running client data on software that has not been updated in a year.

Key takeaways

• Zapier bills per automation run, so the cost rises as the automation succeeds. This is the most common unpleasant surprise of the three.
• Self-hosted n8n keeps client data inside your own infrastructure and does not charge per run, which is why it suits document-heavy firms.
• Make is hosted only but handles complicated conditional logic visually better than the other two.
• All three can be built to fail silently, where the run reports success and no work happened. That is a build quality issue, not a platform issue.
• Migrating away is a rebuild rather than an import, so decide data residency before you have dozens of automations running.

If you are mid-decision, or already on one of these and the bill or the silence is worrying you, we will tell you which of the three your situation calls for even when the answer is not the one we build on.

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Related reading: self-hosting n8n: architecture, security and cost · n8n consultant, freelancer or agency · build vs buy: what AI automation really costs

Services: n8n automation services · system and data integration