n8n vs Make: Which Automation Platform Is Right for You?

Both are excellent. They are also built for different kinds of teams. Here is the honest breakdown of where each one wins, with no affiliate angle.

n8n vs Make is one of the most common questions small teams ask once they outgrow Zapier. Both let you connect apps and automate workflows without writing a full application, both are far more capable than they look, and both have loyal users who will tell you theirs is obviously better. The truth is more boring: they are built for different teams, and the right answer depends on who is going to own the system.

The short answer

If you want a hosted, visual, low-maintenance tool and you do not have an engineer to run infrastructure, Make is usually the better fit. If you have technical staff, care about owning your data and credentials, and run a high volume of operations, n8n is usually the better fit, especially self-hosted.

That is the headline. The detail below is where the decision actually gets made.

What Make is good at

Make (formerly Integromat) is a fully hosted, visual automation platform. You build "scenarios" on a canvas, connecting modules with lines, and Make runs everything for you in its cloud.

• Nothing to host or maintain. There is no server to run, no updates to apply, no uptime to babysit. You log in, build, and it runs.
• A genuinely good visual builder. The canvas is intuitive, the data mapping is clear, and non-developers can build real workflows without code.
• A large native app catalog. Make ships with thousands of pre-built connectors, so most common SaaS tools work out of the box.
• Fast to start. You can have a working automation live in an afternoon with zero setup overhead.

Make's main constraint is its pricing model. It bills by "operations," meaning roughly each step each module performs on each run. For low-volume workflows that is cheap. As your run count climbs into the tens or hundreds of thousands per month, the bill grows with it, and you do not control the underlying cost because you are renting someone else's cloud.

What n8n is good at

n8n is an open-source workflow automation tool. You can use their hosted cloud, but the reason most technical teams choose n8n is that you can self-host it on your own infrastructure.

• Self-hosting and data control. Run n8n on your own server and your data and credentials never leave infrastructure you control. For teams handling sensitive data, this is the headline feature.
• Pricing that does not scale with operations. Self-hosted n8n is not billed per operation. Run a million executions a month and your cost is your server, not a metered bill. At volume, this is a large difference.
• More raw power. n8n has a Code node where you can write JavaScript or Python, plus far more flexible branching, looping, and custom logic than most no-code tools express cleanly.
• Open-source and extensible. You can build custom nodes, inspect the source, and avoid lock-in to a single vendor's roadmap.

The tradeoff is real and it is the whole point: self-hosting n8n means someone on your team owns the deployment. Updates, uptime, scaling, security patches, and the server itself become your responsibility. You have not removed the maintenance burden, you have moved it from the workflows to the platform. For a team with an engineer who wants that control, it is a great deal. For a team without one, it is a liability.

n8n vs Make on price

This is where the comparison is most concrete. Make's hosted plans are affordable at the entry level and scale up with operation volume. n8n's cloud is similar in spirit, but self-hosted n8n changes the equation entirely: your cost becomes a flat server bill regardless of execution count.

The rule of thumb: at low volume, Make is cheaper in total cost because you pay nothing to host and maintain it. At high volume, self-hosted n8n is dramatically cheaper per operation, as long as you have the technical capacity to run it. The crossover point depends on your run count and what an hour of your engineer's time is worth.

n8n vs Make on ease of use

Make wins on pure approachability. A non-technical operator can build and maintain Make scenarios with no help. n8n is more powerful but expects more from you, both in the builder and in running the platform. If the person who will own automation is not a developer, that gap matters more than any feature comparison.

Neither tool is the right answer if the person maintaining it does not have the skill or the time to keep it healthy. That is true of every no-code platform, which is the larger point we make in why Zapier isn't enough for workflows that need real reliability.

How to decide

Skip the feature checklist and answer three questions about your team.

• Who owns it? No engineer, or you want zero infrastructure work, choose Make. Have technical staff who want control, lean n8n.
• How much does it run? Low volume favors Make's hosted simplicity. High volume favors self-hosted n8n's flat cost.
• How sensitive is the data? Internal, non-sensitive workflows are fine on either hosted platform. PII, financial, or regulated data favors self-hosted n8n so credentials stay on your infrastructure.

If your answers point in different directions, weight the "who owns it" question highest. The best platform run by no one who can maintain it loses to the simpler platform someone actually keeps healthy.

When you have outgrown both

There is a third outcome the n8n vs Make debate misses entirely: some workflows should not live in a no-code tool at all. When a process needs genuine judgment, handles unstructured input, spans many systems with real error handling, or has to run reliably enough that silent failure is unacceptable, the honest answer is a custom build, not a bigger no-code subscription.

That is the line where teams move from a platform to a purpose-built system. We cover exactly where that line sits in our breakdown of an AI automation agency versus doing it yourself, and in AI automation agency vs DIY. The short version: if you have already rebuilt the same n8n or Make workflow twice because it broke or outgrew its design, you are paying for engineering in your own time anyway.

Install Agent builds those custom systems, delivered as code you own, with no black-box platform in the middle and no per-operation meter. See our pricing page for what that looks like.

The honest summary

Make and n8n are both excellent, and most teams cannot go badly wrong with either for straightforward automations. Choose Make for hosted simplicity and low-volume ease. Choose self-hosted n8n for control, data residency, and high-volume cost efficiency, if you have the technical capacity to run it. And recognize the third case: when the workflow is complex, sensitive, or business-critical enough that reliability is non-negotiable, a custom build beats stretching any no-code tool past what it was meant to do.