Both give you a visual workflow you build and maintain, so this is not a fight about approach. It is about who runs the thing. Make is a canvas you rent, with the hosting, connectors and uptime handled. n8n is a canvas you can run yourself, which buys control and volume economics and costs you an operator.
Disclosure: this site is run by Zentor, which competes with both.
The diagram looks similar. Everything around it does not.
Rented, and consumption is the bill. Make charges per operation, and its credits documentation is where to model what a real scenario costs before you build it. Predictable, and it scales with usage whether you like it or not.
Run yourself, and the licence can cost nothing while the bill moves to hosting, upgrades, backups and the person who investigates a node that started failing quietly last Thursday. At volume that trade is clearly worth it. Below volume, it is a hobby.
Nothing to operate, and a connector library somebody else maintains. When an app changes its API, that is their week, not yours. For a small team without technical depth, this is the whole argument and it is a good one.
The visual debugging is also better polished. Watching a run step through a scenario and seeing which module produced the bad value is genuinely fast.
Control and cost at scale. Your data stays on infrastructure you picked, the logic can go past what a managed builder exposes, and heavy usage stops being metered. If you already run infrastructure, the marginal cost of one more service is small and the savings are real.
There is a managed option if you want the software without the operating, which is worth pricing before assuming self-hosting is the cheaper path.
| Make | n8n | |
|---|---|---|
| Who keeps it running | Make | You, unless you buy the managed option |
| What you pay for | Operations consumed | Hosting, plus the hours to run it |
| Connector upkeep | Theirs | Partly yours |
| Ceiling on logic | What the builder exposes | Higher |
| Right when | No technical capacity to spare | You have it, and the volume to use it |
Both look fine on a clean run. Build the same scenario twice, then sabotage it: rename a source field, remove a required value, take the destination offline mid-run.
Then check two things that matter more than the build: could you tell what failed without asking anyone, and could the workflow resume without doing everything twice. A tool that half-completes and says nothing is worse than one that stops loudly.
Both of these are diagrams, and diagrams are honest about fixed logic. They are bad at judgement, and most people discover this by building one anyway.
The tell is a router that keeps growing. You added a branch for repeat customers, then one for customers who complained, then one for orders more than a week late, and each branch was a real distinction that a person would have made without thinking. That is not routing; it is a judgement you are trying to draw.
If that is the work, the canvas is the wrong instrument regardless of who hosts it. Keep the diagram for the data movement and let something that carries context between runs handle the part where the right answer depends on what happened last time.
At volume with existing infrastructure, usually. Below that, once you count the hours, usually not. Price the managed n8n option too before deciding self-hosting is the saving.
Make, by a clear margin, and it stays easier as scenarios grow.
Not directly. Expect a rebuild.
That is usually a sign the work needs judgement rather than routing. Adding branches makes it work today and unmaintainable in six months.
The canvas is the same. Everything expensive about it is not.
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