Make vs n8n 2026: Hosted Convenience or Self-Hosted Control?
Make is a pure-cloud, ready-to-use visual automation platform with a polished UI and rich modules, ideal for those who'd rather not touch servers; n8n takes the open-source route, can be self-hosted, and supports code nodes—deeply appealing to developers and teams that care about data sovereignty. Choosing wrong costs you control and your cost curve: those wanting full data ownership and unlimited runs feel locked in on Make, while teams without engineering capacity who force self-hosted n8n get stuck on maintenance.
Side-by-side Comparison
| Dimension | Make | n8n |
|---|---|---|
| Core positioning | Cloud, ready to use | Open-source, self-hostable |
| Hosting | SaaS only | Self-host or cloud ★ |
| Cost model | Per-operation pricing | Near-free self-hosted ★ |
| Code flexibility | Limited inline functions | Native JS/Python nodes ★ |
| UI polish | Polished, most intuitive ★ | Functional, plainer |
| Integrations | 2,000+ apps ★ | 1,000+ nodes |
| Learning curve | Moderate ★ | More technical |
| Best for | Non-tech, hands-off | Developers, full control |
★ = Winner
Verdict
Choose Make if: you don't want to manage servers, want a polished, intuitive UI and a ready-to-use cloud service, and value integration breadth and stable hosting over total control. For non-technical marketing and ops teams, Make is hands-off and fast. Choose n8n if: you have engineering capacity, want to self-host for full data and cost control, or need to write JavaScript/Python inside your flows for complex logic. Self-hosted n8n has near-zero marginal cost at high volume, and being open source and customizable, it's a decisive win for developers and sovereignty-minded teams.
Master it faster with our 50-tip guidebook: Make 50 Automation Workflow Hacks (US$5)
Master it faster with our 50-tip guidebook: n8n 50 Open-Source Automation Tips (US$5)
Frequently Asked Questions
Does n8n have to be self-hosted?
No. n8n offers an official cloud plan you can use with zero maintenance. But its biggest selling point is self-hosting—running it on your own server keeps data in-house and makes high-volume usage extremely cheap, something Make can't match.
Which is better for AI workflows, Make or n8n?
Both work. n8n has rapidly expanded native nodes for LLMs, vector databases, and AI agents, and with code nodes it's more flexible for custom AI flows; Make also has AI modules and wins on an intuitive, no-code-needed interface.
Is moving from Make to n8n a hassle?
The flow-logic concepts carry over, but you can't import directly—you rebuild nodes and connections in n8n. With few flows it's manageable; with many, weigh your engineering capacity and maintenance cost first.
Reviewed and verified by FeiYueh · Last verified 2026-05-20. Independently maintained — not AI-generated boilerplate.
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