Make, formerly Integromat, is one of three names you will meet whenever you look at connecting your tools. Its distinctive feature is its editor: a bubble diagram where you literally see data travelling from step to step.
Definition
Make is an online automation platform for building visual scenarios connecting hundreds of services, without writing code.
It sits between the simplicity of a consumer tool and the flexibility of a technical platform: more permissive than a three-click assistant, more accessible than a developer-oriented tool.
The thing to understand before committing is billing. Make counts operations, meaning every action of every step. A ten-step scenario running a thousand times consumes ten thousand operations, not a thousand. That detail decides your budget far more than the advertised price.
Strengths and limits
| What appeals | What bites |
|---|---|
| Very readable visual editor | Per-operation billing |
| Extensive integration catalogue | No self-hosting possible |
| Well-designed error handling | Long scenarios get expensive fast |
| Intuitive list handling | Hard to leave for another tool |
The editor really is its best asset. Watching data move from bubble to bubble makes debugging noticeably easier than a list of steps, particularly when starting out.
When to choose it
Make is a good choice if you connect several consumer services, if your volume stays moderate, and if you prefer quick uptake to full control.
It is less so if your scenarios are long, since every step is paid for, or if your data must not pass through a third party. In both cases a tool like n8n fits the need better.
Before committing, simulate your real consumption: runs per month multiplied by the number of steps in the scenario. Many discover the true cost in month three, when volume has doubled.
Frequently asked questions
How does it differ from Zapier?
Zapier favours simplicity and integration count, Make favours visual flexibility and slightly more elaborate data handling. For a simple chain either works. As soon as conditions and lists appear, Make copes better.
Can you use AI in it?
Yes, dedicated blocks call the main models. Consumption then stacks: Make operations on one side, model Token on the other.
What happens if you exceed your quota?
Scenarios stop until renewal or until extra operations are bought. One more reason to monitor consumption rather than discover it at a standstill.
How do you choose between the three big tools?
By starting from your volume and your data constraints rather than the advertised number of integrations. Our n8n course works through that comparison at the tool-choice stage, with the corresponding cost maths.