Make or n8n? The honest breakdown
Both build automations, but they sit in different places. This lesson gives an honest comparison of Make and n8n on technical knowledge, cost, and AI depth, plus a short guide to help you decide based on your own situation.
You keep hearing two names: Make and n8n. Both seem to do the same job, but there's a real difference between them. Before deciding which one to start with, let's see that difference clearly.
Make: cloud-based, visual, easy to start
Make runs entirely in the cloud, no setup hassle. Its interface is visual and colorful, and it's generally considered easier for someone just starting out. You can start on a free plan, though that plan limits how many active scenarios you can run and how many monthly credits you get. It's worth checking the current limits on Make's own pricing page directly, since these kinds of limits tend to shift over time.
Worth knowing too: Make used to be called Integromat. You might still run into that name in searches or old forum posts, it's the same tool.
n8n: flexible, but asks for technical knowledge
n8n's code is open, but its license is "fair-code." That's not the same thing as open source, put simply: you're free to use it for your own work, but reselling n8n itself as a paid service to someone else is restricted.
Installing it on your own server gets you free, unlimited use, but that requires some Docker and server-management knowledge. For someone without a technical background, that's usually not the realistic path, n8n Cloud (the hosted version) or Make directly are more accessible. n8n Cloud is billed per execution, meaning every run of a flow costs something.
Where n8n really pulls ahead is on the AI agent side: its visual AI Agent nodes offer a deeper structure than Make's, and if you want to build flows that can interpret their own logic, n8n has the edge.
Decision guide
- Want a fast result and don't have technical knowledge: Make.
- Want your data to stay on your own side and want to play with AI agents: n8n.
There's no universally "correct" answer between the two, only what's right for your situation. If you want your first automation up and running fast, starting with Make saves you time. If you're technically curious and want full control on your own server, n8n is worth the learning curve.
Access and payment
Neither tool is blocked or restricted by region, and both bill in US dollars.
The one question to ask yourself
When deciding, ask yourself a single question: how urgent is the task in front of you, and how much time are you willing to spend wrestling with the technical side? If your answer is "I just need this running now, I don't want to fight with an interface," Make will wear you out less. If your answer is "I can spare some time, and I want to keep control in my own hands," n8n is worth the investment. Don't try to learn both at once, pick one and finish a single automation with it start to finish. Choosing a tool isn't a lifelong commitment, you can always look at the other one once you've got some momentum.
Summary
Make: cloud, visual, easy. n8n: flexible, asks for technical knowledge, deep on the AI side. Both are legitimate tools, both are accessible from anywhere. In the next lesson, we get to the most practical part: how to take a ready-made automation and connect it to your own accounts, instead of building from scratch.