n8n, Zapier or Make: how I actually choose

The short answer: choose self-hosted n8n when your data cannot leave your own servers, or when the logic is complex or AI-heavy. Choose Zapier when a non-technical team will maintain simple, step-by-step automations. Choose Make for heavy data reshaping at volume. Decide in this order: where the data can live, how the bill grows, who maintains it, then what the logic looks like.

The question behind the question

Clients ask "which is best?" It is the wrong question, and answering it honestly gives a useless answer: it depends.

The useful question is narrower. Which is right for this workflow, given who has to look after it once I hand it over?

That matters because the choice is not really about technology. All three tools will move data between two apps. What separates them is where your data is allowed to live, how the bill grows, what the logic looks like, and who touches it in six months. Those four, roughly in the order of how hard they limit you.

Criterion 1: where the data is allowed to live

This one is different from the others, because it is a hard limit, not a trade-off. If it applies, it decides, and you can stop reading.

If the data cannot leave your own infrastructure (patient records, financial accounts, anything with a compliance officer attached), then the conversation ends at self-hosted n8n. "Self-hosted" means the software runs on a server you control. Zapier and Make are both cloud-only: your records pass through and are processed on their servers, under their terms. No setting changes that.

With self-hosted n8n, the workflow runs on your server, the logins sit in a database you control, and the data never leaves your boundary. In a regulated business that is not a small advantage. It is often the whole reason the project is possible.

The cost is real and worth stating: you now own a server. Updates, backups, uptime and security certificates become your job. If nobody on the team wants that, say so early instead of discovering it at handover.

Criterion 2: how the bill grows, not the price

I am not going to quote prices here, because they change, and an old number in a blog post is worse than no number. What does not change is the shape of the bill:

• Zapier bills per task: roughly, each action step that runs.
• Make bills per credit: a similar unit, which Make used to call an operation and renamed in August 2025. Most actions cost one credit, and AI features can cost more.
• n8n Cloud bills per execution: one workflow run counts once, however many steps it has.
• Self-hosted n8n bills you for a server: a flat cost however many steps run, plus the time you spend looking after it.

The vendors publish current numbers on their own pricing pages (Zapier, Make, n8n), and those are the figures to price against.

That difference in shape, not price, is what causes the surprise.

At low volume, Zapier is usually cheapest in total cost, because at low volume the biggest cost is your time setting things up, and Zapier takes the least of it. The real cost is not the invoice.

Somewhere in the low thousands of runs a month, that flips, and it flips harder than people expect, because of what I call fan-out.

The fan-out problem

One small trigger can turn into many steps. Here is the case that catches everyone: an order arrives with twenty line items, and each item needs a stock check and a write.

• On Zapier, that is roughly twenty tasks. For one order.
• On Make, a tool called an Iterator splits the order into twenty pieces and you pay twenty credits, but credits are cheap enough that this is usually fine.
• On n8n, a list of twenty items flows through the same steps as one run. Self-hosted, the server does not care. On Cloud it is still a single run.

Now multiply by four thousand orders a week. This is why "how many runs a month?" is the wrong measure, and "how many steps a month, after splitting?" is the right one. A workflow that looks small at the start can be huge three steps later.

If your workflow only ever handles one record at a time (a form submission that creates one CRM contact), none of this applies, and the cheapest option is whatever you can set up fastest.

Criterion 3: who looks after it after handover

This is the criterion people skip, then regret.

If your operations team wants to change the routing rules themselves next quarter, without calling me, Zapier is the right answer even when n8n is technically stronger.

I mean that. A simpler tool your team will actually maintain beats a better tool that goes stale the moment I hand it over. An n8n setup nobody on staff can edit is not an asset. It is a dependency with my phone number attached, and I do not want to build those.

The honest test is to ask who will open this in three months, and what they are comfortable with. If the answer is "a marketing operations person who is very good at Zapier", build it in Zapier. If it is "our backend developer", n8n is not intimidating and the ceiling is much higher.

Whatever the tool, the handover matters more than the choice. Every build I ship comes with the exported workflow file, written instructions covering each branch and what to do when it fails, and a recorded walkthrough, so the team can change it later without me. On n8n that export is a single file you can load into any other n8n setup, which means the work is portable even if I am not.

Criterion 4: what the logic looks like

Only once the first three are settled does the shape of the workflow itself matter.

Zapier is a straight line: a trigger, then steps, with "Paths" for branching. It has by far the largest library of app connections. If you need to talk to some niche software product, Zapier probably already has it and the others probably do not. That is a genuine, underrated advantage. When the job is "when a form is submitted, create a record and notify a channel", Zapier is done in an afternoon and anything else is overkill.

Make is a visual map, and its strength is reshaping data. Tools called Routers, Iterators and Aggregators make "split it up, process each piece, put it back together" feel natural: split an order into line items, handle each, then combine the results into one update. It also shows you each piece of data as it moves, which makes debugging a transformation genuinely pleasant. If the job is heavy data reshaping at volume, Make is the specialist.

n8n is the one that stops being a no-code tool when you need it to. You can drop a Code step into the middle of a workflow and write real JavaScript. That matters more than it sounds, because real business rules are full of conditions that no visual builder expresses cleanly, and the alternative is a chain of nine IF boxes nobody can read.

It is also where I build anything involving an AI model: AI agents that use tools, knowledge-base assistants, retries around model calls. This is the area where n8n is not just an option but the default. My n8n AI agents and workflow automation service and my Claude and OpenAI document and knowledge-base service are both built there.

What I actually run

This site's own booking, contact form and chat run on self-hosted n8n. Four connection points, each protected by a secret key, called only from the site's own server code so the n8n address never reaches the visitor's browser.

I mention it because it is the smallest possible version of criterion one. Even here, where the data is just enquiries and calendar slots, self-hosting let me lock the whole thing behind a shared secret and keep the exposed surface close to nothing. That is the kind of control you are buying.

Where GoHighLevel fits

GoHighLevel comes up often enough that it deserves an answer, and the answer is that it is not competing in the same category.

n8n, Zapier and Make are general-purpose engines. They start empty and connect whatever you point them at. GoHighLevel starts as a CRM (sales pipelines, funnels, calendars, SMS and email campaigns) that happens to include a workflow builder for tying those things together.

That difference decides when to reach for it. If the CRM is the product, GoHighLevel is the platform. If the CRM is one of six systems you need to keep in sync, it is not.

Where it is the right call:

• The pipeline, the funnel, the landing page and the outreach all live in one place, and you would otherwise be stitching four tools together
• The work is follow-up across several channels (SMS, email, voice, missed-call text-back), where having the contact record and the messaging in one system removes a whole class of "the two systems disagree" problems
• You are running the same setup for several client accounts, where saved templates (called snapshots) make setting up the tenth client a copy, not a project

Where it is not:

• The logic outgrows its builder, which happens sooner than people expect once the conditions get complicated
• You need to connect to software it has no built-in link for
• The data cannot live on a hosted platform, which puts you back at criterion one

The practical pattern is not either/or. GoHighLevel handles the CRM, the campaigns and the client-facing side. n8n sits behind it, connected through its API, doing the branching, the data enrichment and the integrations its own builder cannot express cleanly. That combination gets used more than any argument about which is better.

Judged as a general-purpose automation engine, GoHighLevel loses to all three. Judged as what it actually is, that comparison was never the point.

Where I land, most of the time

• Sensitive data, complex logic, AI agents, high volume: n8n, usually self-hosted
• Mainstream apps, simple step-by-step logic, a team already fluent in it, shipping this week: Zapier
• Heavy data reshaping at volume: Make

And often the answer is more than one. There is no rule that a business runs on a single platform, and pretending otherwise usually means forcing one tool into a job it is bad at. A marketing team can stay on Zapier for its form-to-CRM flows while the finance pipeline runs on self-hosted n8n because the financial records cannot go to the cloud. Those two facts do not conflict.

The mistake to avoid is not picking the "wrong" platform. It is picking one for a reason that will not survive contact with the person who inherits it.

The short version

Ask, in this order:

1. Can the data leave your building? If no, self-hosted n8n. Stop here.
2. How many steps a month, after splitting? Low, Zapier. High, n8n or Make.
3. Who edits this in six months? Build for that person, not for me.
4. What does the logic look like? Straight line, Zapier. Reshaping data, Make. Branching, code or AI, n8n.

And before any of it: is the CRM the product? If the pipeline, the campaigns and the funnel are the job, not one system among many, GoHighLevel is the platform and the question above is about what sits behind it.

Most arguments about automation platforms are really arguments about one of those four, held without saying which.

Once the platform is chosen, the part that decides whether it survives real data is error handling. If you would rather have it designed and handed over documented, see end-to-end business process automation.

Frequently asked questions

Is n8n better than Zapier?

Neither is better in general. n8n is stronger when the data must stay on your own servers, the logic is complex, or the workflow includes AI agents, because you can run it on your own server and add code in the middle of a flow. Zapier is stronger when a non-technical team has to maintain simple, step-by-step automations and needs the widest range of app connections.

Is Make cheaper than Zapier?

Per unit it has usually been cheaper, but compare on steps after splitting, not on runs. A workflow that splits one order into twenty line items multiplies the units on both platforms. Price your real workflow against each vendor's current pricing page rather than a headline number.

Can Zapier or Make be self-hosted?

No. Both run as cloud services, so your data is processed on their servers under their terms. If data has to stay inside your own boundary, n8n is the one of the three you can host yourself.

When should I use GoHighLevel instead of n8n, Zapier or Make?

When the CRM is the product: the pipeline, funnels, calendars and SMS or email campaigns all live in one place. GoHighLevel is a CRM with a workflow builder, not a general-purpose automation engine. A common pattern is GoHighLevel for the client-facing side, with n8n behind it over the API for branching and integrations.