n8n vs Zapier vs Make: which to pick for automating your business
Honest comparison of n8n, Zapier, and Make from the experience of building real automations in production. Pros, cons, and when each one fits.
Every month somebody asks us the same thing: "why do you use n8n and not Zapier?" It deserves a long answer, because the call isn't obvious and depends on the case.
This piece compares the three most-used automation platforms today: n8n, Zapier, and Make (formerly Integromat). No marketing, from the experience of having used all three on real projects.
What each one is, in a single line
- Zapier: the pioneer. Pure SaaS, huge integration catalog, minimal learning curve, aimed at no-code for business teams.
- Make: visually more powerful than Zapier, can handle more complex flows, pricing by operations (not tasks), SaaS.
- n8n: open-source, self-hostable or managed cloud, visual editor similar to Make but with real code nodes when you need them. Built for technical teams.
Quick comparison table
| Criterion | Zapier | Make | n8n |
|---|---|---|---|
| Model | SaaS | SaaS | Open-source + optional SaaS |
| Pricing | Per task run | Per operation (more granular) | Free self-host plan · SaaS per run |
| Self-host | No | No | Yes (Docker, k8s) |
| Learning curve | Very gentle | Medium | Medium-high |
| Complex flows (branches, loops) | Limited | Good | Very good |
| Code nodes (JS, Python) | Limited | Limited | Native and powerful |
| Integrations | 7,000+ | 1,700+ | 500+ official · HTTP for the rest |
| Versioning (Git) | No | No | Yes (exportable JSON) |
| Control over data | On the provider's servers | On the provider's servers | You decide (if self-hosted) |
| Best for | Simple flows · business teams | Mid-size flows · marketing and ops | Complex flows · technical teams · sensitive data |
Pros and cons, one by one
Zapier
Pros
- Unrivaled integration catalog. Whatever it is, there's probably a connector.
- Trivial learning curve: anyone in marketing can build a "Zap" in an afternoon.
- Massive docs and community.
- Solid enterprise support.
Cons
- Flows with branches, loops, or complex conditional logic get fragile and expensive fast.
- Self-host is impossible. Your data always flows through their infrastructure.
- Debugging is limited. When something breaks at step 6 of 10, figuring out why is painful.
- The per-task pricing model punishes chatty flows: every step counts as a task.
When to pick it
- You're a small team with no technical profile.
- The flows are simple, linear, with 2-4 steps.
- You need to wire SaaS to SaaS and the integration already exists.
- You don't care that the data flows through a third party.
Make (ex Integromat)
Pros
- Visual editor better than Zapier for flows with branches, iterators, and routers.
- Operations-based pricing is more predictable at high volume.
- Error handling with fallback paths is clearer than in Zapier.
- Good balance between power and accessibility.
Cons
- Also SaaS, so same limitations on data control.
- Fewer integrations than Zapier.
- Very large flows become unreadable on the canvas.
- Custom code is limited. When you need a complex JSON parser or a non-trivial transformation, you hit the wall.
When to pick it
- Your flow has branches, loops over arrays, and several error paths.
- You want a clear visual that non-technical folks can review.
- Your pricing fits better with the operations model than the task model.
- The case is still mostly SaaS-to-SaaS.
n8n
Pros
- Real self-host. Your data doesn't leave your infrastructure unless you want it to.
- Code nodes (JavaScript and Python) as first-class citizens: you can write arbitrary transformations without fighting the tool.
- Flows export to JSON, version in Git, review via PR.
- Solid generic HTTP connector: if there's no node, you hit the API directly.
- Active community, community nodes, and the option to write your own.
- Very favorable pricing at volume if you self-host.
Cons
- Steeper learning curve than Zapier. It's not the "marketing builds it in an afternoon" tool.
- Fewer official integrations than Zapier.
- If you self-host, you own reliability (backups, monitoring, updates).
- The managed cloud is younger than Zapier or Make.
When to pick it
- The case needs non-trivial data transformations.
- You handle sensitive information and don't want it passing through a third-party SaaS.
- You want to version flows in Git like any other code.
- You need to integrate with internal APIs, not just well-known SaaS.
- Your team has (or can have) the technical profile to maintain it.
When does each one hurt?
Zapier hurts when the flow grows. What started as "when a lead comes in, create it in the CRM" ends up as 15 steps with conditionals, the monthly bill suddenly spikes, and maintenance turns into archaeology.
Make hurts when the dev team wants to version it as code, do code review, and have dev-staging-prod environments. It's not built for that.
n8n hurts when you hand it to a team with no technical profile expecting the plug-and-play feel of Zapier. It isn't that. In exchange it gives you control the other two don't.
Why we default to n8n at Urboros
This isn't fanboy stuff. It's a pragmatic call based on the projects that come our way.
1. Most of our projects handle data that shouldn't be on a third-party SaaS. Invoices, customer data, sensitive commercial info. Self-host fixes that at the root.
2. The flows we build are complex by default. It's rarely "A → B." It's usually "pull from CRM, enrich with scraping, cross-reference with an internal DB, apply logic, branch on result, write to three places, and ping Slack if something looks off." n8n handles that without fighting you.
3. We want to version in Git. Flows are code, they should live in a repo, get reviewed via PR, and have history. In n8n you export the JSON and you're done.
4. Integrating with LLMs and agents is natural. We use n8n as the orchestrator for AI agents and copilots. The flexibility of code nodes and the generic HTTP node makes connecting Claude, OpenAI, local models, or in-house APIs trivial.
5. When you need to open it up, you can. We can write custom nodes, change behaviors, adapt whatever's needed. That doesn't exist with a closed SaaS.
That said: if a client lands with a three-step flow, standard SaaS integrations, and zero technical team, we recommend Zapier. We don't waste our time or their money.
Conclusion
- Zapier is still the shortest path for teams without a technical profile and simple flows over known SaaS.
- Make is the middle ground: more power than Zapier without leaving the no-code world.
- n8n wins when you need control, complex flows, versioning, sensitive data, or deep integration with AI models.
We use n8n to automate with AI on most of our projects, but the right tool is the one that solves your case at the lowest total cost of ownership. Not the one that's trending.
If you're not sure which tool fits your case, tell us about it. We'll say which one we'd use and why. No fine print.
Frequently asked
Which is cheaper in the long run: n8n, Zapier, or Make?+
Self-hosted n8n is the cheapest at high volume (starting around 5,000 runs/month the VPS starts paying off). Zapier is the most expensive per operation but the least time-consuming to set up. Make sits in between.
Can I migrate workflows between n8n, Zapier, and Make?+
Not directly. Each one uses its own format. Migrating means rebuilding by hand, so choose well upfront so you're not redoing it six months later.
Which fits best with LLMs and AI agents?+
n8n by a wide margin: native nodes for OpenAI, Anthropic, and others, supports function calling, and lets you drop in arbitrary JS to post-process responses. Zapier and Make are adding LLM nodes but they're behind.
Which is more stable in production?+
Zapier is the most mature with the best historical uptime. Self-hosted n8n depends on how you deploy it; well-hosted, it can be more stable than the cloud versions of the other two. Make has the worst reputation for silent errors.

Diseña la capa que conecta el LLM con el resto del sistema. Lleva años montando producto B2B y se obsesiona con que el equipo del cliente adopte la herramienta.
Tell us about your case and we'll let you know on the call if it makes sense. No fluff.