n8n vs Make: An Honest Comparison

Two flexible automation tools a step above the simple ones, and closer to each other than either is to Zapier. Here's what actually separates them, job by job.

What they are

n8n and Make are both visual, flexible automation platforms: you build a workflow on a canvas, connect apps and add logic. They're closer to each other than either is to Zapier, which is simpler by design. The headline difference is hosting. n8n can be self-hosted on your own infrastructure, while Make is a polished cloud-only product with a well-regarded visual builder and a big library of connectors (ready-made links to other apps).

The real differences

Hosting and data control: n8n self-hosts, so data stays in-house. Make is cloud-only. Pricing: Make charges by operation (each step counts), so busy scenarios add up. Self-hosted n8n has no per-operation cost. Building experience: Make’s scenario canvas is a real strength, and many people enjoy building complex flows in it. n8n is just as capable and a little friendlier to code. Connectors: Make has a large, mature app library. n8n’s is growing, and its custom-request node (a step that can call almost any app’s API) covers the gaps.

When Make is the better choice

Choose Make when you want a very polished builder, you’re happy in the cloud, and a large ready-made connector library and a smooth visual editor matter more to you than self-hosting. For a team building moderately complex automations that doesn’t want to touch a server, Make is a strong, well-designed option. Its visual scenario editor is one of the nicest we’ve used.

When n8n is the better choice

Choose n8n when self-hosting matters (sensitive data you’d rather keep in-house, or per-operation pricing that hurts at volume), or when you want to drop into custom code more freely. It’s also become a common choice for running AI steps inside a workflow. We cover its strengths and limits in is n8n worth it, and how it stacks up against the simpler tool in n8n vs Zapier.

Our take

For most flexible-automation jobs you’d do well with either. The gap between them is smaller than the gap between either one and Zapier. We build on n8n mainly for the self-hosting and cost control, and because it slots neatly into the custom systems we build. If you want a lovely cloud builder and don’t need self-hosting, Make is a fair choice, and we wouldn’t talk you out of it. For the basics underneath both, see workflow automation.

People also ask

What’s the main difference between n8n and Make?

Both are visual, flexible automation tools a step above Zapier in power. The biggest difference is hosting. n8n can be self-hosted, meaning it runs on a server you control and your data stays there, while Make is cloud-only. n8n also lets you drop into custom code more freely. Make has a polished visual builder and a large connector library that many people like working in.

Is Make easier than n8n?

Make’s visual builder is widely liked, and its scenario canvas and app library can make complex flows feel more approachable without code. n8n is just as visual but leans more technical, and it suits people who’ll write the odd snippet of code. Neither is “easy” the way Zapier is. Both are built for heavier automation work.

Can I self-host Make like n8n?

No, Make is cloud-only. If self-hosting matters to you, for data control or to get rid of per-operation pricing, n8n is the one that supports it. If you’re happy in the cloud, Make’s hosted product is well polished.

Which is better for AI workflows?

Both handle AI steps well. n8n has become a popular choice for wiring AI models and agents into workflows, partly because self-hosting keeps sensitive prompts and data in-house. Make connects to AI services capably too. For most teams, hosting and cost decide it, not AI support.

Where we land: both are good, and the choice matters much less than people expect once a workflow is running. We reach for n8n when self-hosting or code steps matter, and Make when the visual builder is doing most of the work. Either way, the tool is rarely why an automation fails. The build and the upkeep usually are.

If you’re outgrowing a visual tool and wondering what a proper build looks like, tell us the workflow. we’ll give you a straight answer.

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