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n8n and Make both target automation builders who outgrew linear trigger-action tools. The real fork in the road: Make is a polished managed cloud with a brilliant visual canvas; n8n trades some polish for self-hosting, code-level extensibility, and the strongest AI-agent tooling in the category.
| n8n | Make | |
|---|---|---|
| Pricing model | Execution-based; free to self-host the community edition | Operation-based cloud subscription |
| Hosting | Cloud or self-hosted anywhere Docker runs | Cloud only |
| Extensibility | JavaScript/Python code nodes, custom nodes, community node ecosystem | HTTP module and functions within scenarios; no custom module SDK for end users |
| AI features | Native AI agent nodes, LangChain integration, local/self-hosted model support | AI modules for popular providers within scenarios |
| Visual editor | Node graph — powerful, slightly more utilitarian | The slickest canvas in the space, with routers and iterators |
| Data control | Full — your server, your data | Data transits Make’s cloud |
These two are closer in spirit than either is to Zapier. Pick Make when you want a beautiful managed canvas and predictable subscription. Pick n8n when ownership matters — of your data, your costs at scale, or your AI stack. Agencies frequently prototype in Make and productionize heavy pipelines in self-hosted n8n.
Self-hosted n8n has no per-operation meter — you pay for your server, so heavy workloads are dramatically cheaper. For light workloads on managed cloud plans, prices are comparable.
n8n, clearly. Its agent nodes, LangChain integration, and local model support make it the default choice for AI-first automation in 2026.
n8n Cloud requires none. Self-hosting needs basic Docker comfort — a single docker compose up on a small VPS is enough for most teams.
Neura Market carries 27,000+ importable workflows across n8n, Make, Zapier, Activepieces, and Pipedream — filter by platform and import in one click.
Neura Market carries 27,000+ ready-made workflows for both platforms, so you can evaluate them with real automations instead of blank canvases.