Date:
14 mai 2026
IA
Make vs N8N: The Quick Decision Table (And Which One Is Right for You) If you’ve landed here, you’re probably staring at two browser tabs — one for…
Make vs N8N: The Quick Decision Table (And Which One Is Right for You)
If you’ve landed here, you’re probably staring at two browser tabs — one for Make, one for N8N — and wondering which one deserves your time, your money, and your sanity.
Good news: you’re asking the right question. Bad news: most comparisons online are written by people trying to sell you one or the other.
This one isn’t. Let’s be straight about what each tool actually does well, and give you a simple decision framework to pick the right one for your situation.
What Are We Even Comparing?
Both Make (formerly Integromat) and N8N are workflow automation platforms. They let you connect apps, automate repetitive tasks, and build complex multi-step processes — without writing much (or any) code.
But they come from very different philosophies. And that difference matters more than any feature list.
The Quick Decision Table
| Make | N8N | |
|---|---|---|
| Best for | Non-technical teams | Developers & technical users |
| Hosting | Cloud only | Cloud or self-hosted |
| Pricing model | Pay per operation | Free self-hosted / paid cloud |
| Visual interface | Very intuitive, drag & drop | More complex, steeper curve |
| Customization | Limited to built-in modules | High — custom code, full control |
| Data privacy | Data goes through Make servers | Self-hosted = full data control |
| Integrations | 1500+ native apps | 400+ native + custom HTTP nodes |
| AI workflow support | Growing, solid basics | Strong, flexible AI chaining |
| Error handling | Simple | Advanced and granular |
| Scalability | Good for small-mid scale | Built for heavy, complex workflows |
Make: When It Shines
Make is genuinely beautiful to use. The canvas-based interface makes it one of the most visual automation tools on the market. If your team isn’t technical, they can build and maintain workflows without calling a developer every time something breaks.
It’s the right choice when:
- Speed matters more than flexibility. You want to connect Notion to Slack to Google Sheets and you want it done in 20 minutes.
- Your team has no developer resources. Make is approachable. N8N is not — at least not at first.
- You're running straightforward workflows. Lead capture, CRM updates, email triggers, report generation. Make handles all of this beautifully.
- You don't want to manage infrastructure. No servers, no updates, no maintenance. Make just works.
The honest downside: The pricing model can become expensive fast. You pay per “operation” — meaning every action inside a workflow counts. Complex automations with lots of steps add up quickly.
N8N: When It Shines
N8N is what happens when developers build an automation tool for developers. It’s open-source, infinitely customizable, and — if you self-host it — completely free.
It’s the right choice when:
- Data privacy is non-negotiable. Self-hosting means your data never touches a third-party server. For regulated industries (healthcare, finance, legal), this is often a dealbreaker.
- You need complex logic and custom code. N8N lets you write JavaScript directly inside nodes. That opens up possibilities Make simply can't match.
- You're building AI-powered workflows. Chaining LLM calls, building agents, connecting to vector databases — N8N handles this with more flexibility.
- Cost at scale matters. Self-hosted N8N is effectively free. For high-volume automations, the cost difference becomes very significant.
The honest downside: The learning curve is real. If your team isn’t technical, N8N will frustrate them. And self-hosting means you own the infrastructure — including when it breaks.
The 30-Second Decision Framework
Choose Make if:
You want something running today, your team is non-technical, and your workflows are relatively standard.
Choose N8N if:
You have developer resources, data privacy matters, you’re building AI agents, or you need to scale without your costs scaling with you.
Still unsure?
Start with Make to validate the use case. Migrate to N8N once the workflow is proven and volume justifies the infrastructure investment.
What COMVERSE Recommends
We work with both tools every day. The truth is that neither is universally better — they serve different problems at different stages of a company’s automation journey.
What we see most often: companies start with Make because it’s fast, then hit a wall at scale or when AI workflow complexity grows. That’s when N8N becomes the right next step.
The worst outcome? Choosing the wrong tool for your context, building 40 workflows, and then having to rebuild them all six months later. A 30-minute conversation upfront saves weeks of rework.