All three do the same job — connect apps without code
Zapier, Make, and n8n are so-called no-code platforms: you visually wire your tools together so they pass data and perform actions. An order email arrives → it lands in a sheet → a confirmation goes out → the warehouse is notified. You set all of this up with a mouse, without a single line of code.
Since they do the same job, the decision isn't about "what they can do" but about four practical things: how easy each is to use, how you pay for it, who controls your data, and where each one hits its ceiling. Let's take them in order.
Zapier — the easiest start, the fastest to get expensive
Zapier is the friendliest for someone who has never automated anything. It has the most ready-made connections (thousands of apps), everything is explained step by step, and you can get a simple automation running in an afternoon.
You pay per task performed — and there's the catch. Every step in every run counts. At small volumes it's cheap, but as your operation count grows, the bill can jump uncomfortably. Zapier is ideal for a quick start and simple scenarios. For more complex logic (branching, loops, working with larger batches of data) it's either expensive or simply not enough.
Make — more for less, with a learning curve
Make (formerly Integromat) is a step further. Instead of a simple "when A, do B," you see the whole scenario as a canvas of connected modules — you can branch, loop, and process a whole array of items at once. For similar money it handles far more operations than Zapier, so as volumes grow it's cheaper.
The price is a learning curve. Make looks more complex at first and takes a while to grasp — how data flows between modules, what a "bundle" is, how to handle errors. For most companies it's a sensible middle ground: powerful enough for real processes, accessible enough that a non-technical person can manage it after a few hours.
n8n — control over your data and no per-operation ceiling
n8n is in a different league on one point: you can host it yourself, on your own server. That means sensitive data (customers, invoices, health or payroll records) never has to leave your infrastructure, and you aren't sending it through a third-party cloud service. For companies that take GDPR seriously or have contractual limits on where data may live, this is often the deciding argument.
The second advantage: when self-hosted, you don't pay per operation — you pay for a server. At high volumes that's dramatically cheaper. The cost? Someone has to install, update, and maintain it — either you have a capable person or you have it managed for you. n8n is also the most flexible: when no-code isn't enough, you can drop a piece of code straight in.
How to decide without analysis paralysis
Put simply: if you just want to try one or two simple automations and have them running within the hour, start with Zapier. If you're building real processes with branching and higher volume and want a good price-to-power ratio, go with Make. If you have sensitive data that must not go to a foreign cloud, or a large operation volume where the cloud would ruin you, consider self-hosted n8n.
Most of all — don't pick the tool first. First describe clearly the process you want to automate, its volume, and the sensitivity of the data. The tool is a consequence of those three things, not the other way round. A bad advisor sells you a tool; a good one asks about the process first.
When none of them fit and you need code
No-code has a ceiling, and it's good to know it in advance. When a process needs complex logic with dozens of conditions, working with large volumes of data at once, a connection to a system that has no ready connector, or the performance and reliability your core business stands on — the visual canvas becomes tangled and fragile. At that point it's cleaner, and often cheaper, to write it as custom code.
In practice the best answer is usually a combination: the core and the sensitive parts handled in code, the routine and the connections in a no-code tool. The goal isn't to be a purist in either direction — it's to have a system that runs reliably, can be maintained, and doesn't cost more than it should. Sometimes that's Make in a few hours; other times the honest answer is: this deserves proper code.