n8n vs Make (2026): an honest comparison
Choose n8n if you need self-hosting, custom code, complex logic, or full control over your data. It is the more powerful, developer-friendly engine. Choose Make if you want a polished visual builder, fast setup, and a gentler learning curve for simpler automations. Both connect almost any app with an API. The right pick comes down to three things: how complex your workflows are, how much volume you run, and how much control you need.
Last updated: June 2026 · by Abhiman Sundararajan, Verified n8n Creator (Level 2)
n8n vs Make at a glance
| Factor | n8n | Make (formerly Integromat) |
|---|---|---|
| Self-hosting | Yes. Full self-host via Docker, VPS, or on-prem | No. Cloud only |
| Pricing model | Free self-hosted. Cloud billed per workflow execution | Billed per operation. Every step counts |
| Custom code | JavaScript and Python code nodes | Limited inline functions and custom JS app |
| Visual builder | Flexible node editor with branching | Polished, linear drag-and-drop canvas |
| Error handling and retries | Granular. Error workflows, retries, branching | Built-in error handlers per module |
| Integrations | ~500 native nodes plus any REST or GraphQL API via HTTP node | ~2,000 prebuilt app connectors |
| Source and licensing | Fair-code. Source public, self-host free | Proprietary. No source access |
| Best for | Complex, data-sensitive, high-volume automation | Fast visual automation for non-developers |
Pricing and integration counts are approximate as of June 2026. Both vendors change plans often, so confirm current pricing and limits on their own sites before you decide.
The core difference: how each tool bills and runs
Make is a managed cloud product priced per operation. Every module that runs inside a scenario counts as one operation, so a workflow with ten steps that processes one record uses ten operations. That model is predictable at small scale and gets expensive as either your step count or your volume grows.
n8n bills differently. On n8n Cloud you pay per workflow execution, not per step, so adding nodes to a workflow does not increase what one run costs. Self-hosted, you pay only for the server it runs on and there is no usage metering at all. For teams running heavy, multi-step automations, that distinction is the single biggest cost lever between the two.
Custom code and complex logic
This is where the gap is widest. n8n ships JavaScript and Python code nodes, so when a workflow needs to reshape data, merge arrays from several sources, or apply business rules that no prebuilt node covers, you write a few lines and move on. Branching, looping, and conditional routing are first-class.
Make handles logic visually with routers and filters, and it offers limited inline functions plus a custom JavaScript app. For straightforward transformations that is enough. Once the logic gets genuinely complex, doing it on a visual canvas becomes harder to read and maintain than writing the equivalent in an n8n code node.
Error handling and reliability
Both tools catch errors, but n8n gives you more control. You can attach a dedicated error workflow that fires whenever any workflow fails, set per-node retry counts and delays, and branch on failure so a single bad record does not stop the rest. That is what makes an automation feel production-grade rather than a demo that breaks on the first edge case.
Make provides per-module error handlers and rollback behavior that work well for most scenarios. The difference shows up at scale and on workflows you cannot afford to have silently fail overnight, where n8n's finer control pays off.
Which one fits your team?
A table tells you what each tool does. The more useful question is which one fits how you actually work. Here are three common profiles and a clear verdict for each.
Developer or technical founder who wants control
You are comfortable in the terminal, you want your automation data on your own infrastructure, and you expect to drop into JavaScript or Python the moment a workflow needs real logic. You also want to read and version your workflows like code.
Non-technical ops person automating a few tasks
You are not a developer, you want to connect a handful of apps you already use, and you want the first automation live this afternoon without touching code or a server. A clean drag-and-drop canvas matters more to you than deep flexibility.
High-volume data team watching the bill
You move thousands of records a day through multi-step workflows, and an operation-based price multiplies fast as each step counts against your quota. You need cost to stay flat as volume grows, plus retries and error workflows so nothing silently drops.
When to choose n8n
- You want to self-host for data control or to avoid per-operation billing
- Your workflows need custom JavaScript or Python logic
- You need granular error handling, retries, and complex branching
- You connect tools that require direct REST or GraphQL API calls
- You run high-volume automations where per-operation pricing gets expensive
When to choose Make
- You are a non-developer who wants a polished visual builder
- Your automations are relatively simple and low volume
- You prefer a fully managed cloud service with no server to maintain
- You need a connector Make ships natively and want it live in minutes
- You value a gentle learning curve over deep flexibility
Where I can help
We build production-grade n8n automations, and we migrate teams off operation-based tools when cost or complexity outgrows them. I am a Verified n8n Creator at Level 2, so this is the work I do every week. If you are weighing the two, a free 30-minute call gets you a clear recommendation for your stack, with no pitch attached.
Common questions.
Is n8n cheaper than Make?
It depends on volume. n8n self-hosted is free apart from your server, and its cloud plans bill per workflow execution rather than per step. Make bills per operation, where every module run inside a scenario counts, so a 12 step scenario burns 12 operations each time it fires. At low volume Make's free tier is generous and either tool is cheap. At high volume, self-hosted n8n is almost always the lowest cost because adding steps does not multiply your bill.
Can n8n be self-hosted and Make cannot?
Yes. n8n is fair-code and runs on your own server, VPS, or Docker container, which gives you full control over where data lives and removes per-operation billing entirely. Make is cloud only, with no self-hosting option. If data residency, privacy, or predictable cost at scale matter to you, self-hosting is the clearest reason teams pick n8n over Make.
Is Make easier to learn than n8n?
For a first automation, usually yes. Make's canvas is polished and forgiving, and the linear left-to-right flow is easy to follow for someone who has never built an automation. n8n's editor exposes more power up front, so the first hour takes a little longer, but that same power is what lets you add custom code, complex branching, and detailed error handling later without hitting a wall.
Does Make have more integrations than n8n?
Make lists more prebuilt app connectors, roughly 2,000 compared to around 500 native n8n nodes. The count is misleading though. n8n's HTTP Request node calls any REST or GraphQL API directly, so it connects to anything with an API even when no prebuilt node exists. Make can also call custom APIs through its HTTP module. In practice both reach almost any tool, and the prebuilt number only saves you setup time on the apps it covers.
Should I migrate from Make to n8n?
Consider it when your Make operation bill keeps climbing, you need to self-host for data control, or you have hit the ceiling on custom logic and error handling. If your scenarios are simple, low volume, and the pricing feels fine, there is no urgent reason to move. Migration is real work because the two tools model data differently, so weigh the ongoing savings against the one-time effort before you switch.
Which is better for production automation?
n8n in most cases. Custom code nodes, dedicated error workflows, configurable retries, and self-hosting make it better suited to automations that must run reliably, recover from failures, and handle real edge cases at scale. Make is excellent for fast, visual automations where a fully managed cloud service is the priority and the logic stays straightforward.
Is n8n open source?
n8n uses a fair-code license called the Sustainable Use License. The source is public and you can self-host it for free for internal business use, which covers the vast majority of teams. It is not a standard OSI open source license, so reselling n8n as a hosted product has restrictions. Make is fully proprietary with no source access. For most teams the practical takeaway is simple: you can run and inspect n8n yourself, and you cannot do that with Make.
Not sure which fits?
Pick a time. In 30 minutes I will map your automation needs to the right tool and give you an honest recommendation, plus a price if you want it built. Free, no obligation.