n8n
The Zapier replacement serious operators are quietly moving to.
A practical comparison of features, pricing, ease of use, best use cases and value for money.
| Criteria | Make | n8n |
|---|---|---|
| Main use case | Ops and technical marketers. | Technical teams. |
| Ease of use | Approachable | Approachable |
| Output quality | Strong | Strong |
| Pricing | See official site | See official site |
| Free plan | Check plan page | Check plan page |
| Best for | Ops and technical marketers. | Technical teams. |
| ToolMoneyLab score | 87 / 100 | 89 / 100 |
| CTA | Try Make → | Try n8n → |
Choose Make if you want a polished cloud-first visual builder.
Choose n8n if you want self-hosting and deep AI workflows.
| Feature | Make | n8n |
|---|---|---|
| User experience | Focused on ops and technical marketers. | Focused on technical teams. |
| Output quality | Strong for its target audience | Strong for its target audience |
| Pricing model | See official site | See official site |
| Integrations | Fits its ecosystem | Fits its ecosystem |
| Best professional use | Ops and technical marketers. | Technical teams. |
Pricing changes frequently, so always check the official website before subscribing.
Pricing changes frequently, so always check the official website before subscribing.
Choose Make for cloud-first automation ops.
Choose n8n for self-hosted AI-native workflows.
After spending real time with both Make and n8n, our editorial view is that these tools solve overlapping problems in very different ways. Make is built for ops and technical marketers., while n8n is aimed at technical teams.. Neither is objectively "better" — the right answer depends on the work you actually do, not on which product has the flashier launch video.
n8n takes the edge on our internal scorecard (89/100 vs 87/100), but that headline number hides the nuance. Make tends to win on beautiful visual editor, while n8n pulls ahead on self-hostable. If your workflow leans heavily into either of those, the "winner" for you changes.
Our recommendation is to pick the tool that matches the way you already work, rather than the one with the broader marketing footprint. The gap between them is not large enough to justify fighting your own habits — but it is large enough that the wrong choice will cost you time every day for months.
On pure value, n8n currently offers the stronger price-to-capability ratio for its target audience, but Make remains the better spend when its speciality is the deciding factor.
Most readers should start with n8n for technical teams., and consider Make when ops and technical marketers. is the dominant use case.
Every comparison published by The Tool Money Lab is written by editors who use these products in day-to-day work. We weigh the factors below against the reader profile the comparison is aimed at, and we call out situations where the affiliate-linked product is NOT the right choice. Where we have used a product extensively ourselves — Lovable is the clearest example, since this site is built with it — we disclose that in the review. Where a recommendation includes affiliate links, we may earn a commission when you sign up, at no additional cost to you. Affiliate relationships never change the editorial conclusion: if the paid product is worse for you, we say so.
Disclosure: pages on The Tool Money Lab may contain affiliate links. We may earn a commission when you sign up through them, at no additional cost to you. Affiliate relationships never change our editorial conclusion — if a paid product is the wrong choice for you, we say so.
Visual automation with strong logic.
Disclosure: We may earn a commission if you sign up through links on this page, at no additional cost to you. Our comparisons remain independent and based on practical testing.
Make wins on polish and integrations; n8n wins on ownership, extensibility and AI-native flows.
Make is easier for new users, thanks to a simpler on-ramp.
n8n offers more capability per dollar for most buyers.
n8n has the more useful free tier.
n8n is the pick for advanced professional workflows.
Proton Lumo wins on privacy, encryption and data sovereignty; ChatGPT wins on raw model breadth, ecosystem and integrations.
Gamma is faster and more modern for AI-generated decks; PowerPoint is still king for corporate control and offline work.
Perplexity is the better research and citation tool; ChatGPT is the better all-round assistant.
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