n8n vs Make vs Zapier in 2026: Which Should You Actually Build On?

The short answer: Zapier if the workflow is simple and the person maintaining it is non-technical. Make if you need branching, iteration and visual clarity at a moderate price. n8n if you run high volume, need to self-host for data or cost reasons, or want to drop into code when the no-code path runs out. Most businesses past a certain size end up on n8n for the core and keep one of the others for edge cases.

We build on all three. This is where each one genuinely wins and where each one hurts.

The 30-second comparison

The pricing difference is the whole story

This is the part that decides most real projects, and it is not really about the sticker price.

Zapier charges per task. A task is roughly one action. A workflow with six steps that runs 1,000 times a month is 6,000 tasks. Costs scale linearly with everything you automate, which means success makes it more expensive, exactly backwards from what you want.

Make charges per operation, similar in principle but meaningfully cheaper per unit, and its router lets one scenario do work that would need several Zaps.

n8n charges per execution on cloud, so one workflow run is one execution regardless of how many steps it contains. A 40-step workflow costs the same as a 3-step one. Self-hosted, it costs whatever your server costs.

That difference in unit is not a detail. It changes how you design. On per-task pricing you are quietly incentivised to build fewer, cruder steps. On per-execution pricing you build the workflow the process actually needs.

When Zapier is the right call

Genuinely, sometimes it is:

• The workflow is five steps or fewer with no branching.
• The person who will maintain it is not technical and never will be.
• You need an integration that only Zapier has. Its catalogue is still the largest, especially for smaller SaaS tools.
• Volume is low and predictable.
• You need it working this afternoon.

Zapier's real product is not automation, it is not having to think. For a founder wiring a form to a spreadsheet to Slack, that is worth paying for.

Where it hurts: cost at volume, weak error handling, and hitting a wall the moment you need real branching or iteration.

When Make is the right call

Make sits in the middle, and the middle is a legitimate place to be:

• You need branching, routers and iterators but not custom code.
• You want to see the data flow. Its visual builder genuinely is the clearest of the three for debugging.
• You are processing arrays and collections, which Make handles more gracefully than Zapier.
• Cost matters, but not enough to self-host.

Where it hurts: the visual model gets unwieldy past a certain complexity, and you are still renting someone else's infrastructure with your data flowing through it.

When n8n is the right call

• Volume is high. Per-execution pricing, or self-hosted with no per-run cost at all.
• Data cannot leave your infrastructure. Healthcare, finance, legal, or any client whose contract says so. This is often not a preference but a requirement, and it eliminates the other two outright.
• You need code. n8n lets you drop a JavaScript or Python node in the middle of a visual workflow. No workaround, no external function call, just code where you need it.
• You are building AI agents. n8n's agent tooling (LangChain nodes, memory, tool calling, vector stores) is well ahead of the others for anything beyond "call an LLM and return the text".
• The workflow is genuinely complex. Sub-workflows, error branches, retries, queues.

Where it hurts: someone has to run it. Self-hosting means a server, updates, backups and monitoring. n8n Cloud removes that but gives back some of the cost advantage. And the learning curve is real: it assumes you understand APIs, JSON and data shapes.

The licence question

n8n is source-available under the Sustainable Use License, not open source in the OSI sense. In plain terms: you can self-host it, use it internally, and modify it freely. You cannot resell it as a hosted product competing with n8n.

For the overwhelming majority of businesses and agencies this is irrelevant, because internal use and client work are both fine. It only bites if your business model is "we sell hosted n8n". Worth knowing, rarely worth worrying about.

How to actually choose

Work down this list and stop at the first "yes":

1. Must the data stay on your own infrastructure? → n8n, self-hosted. Nothing else qualifies.
2. Will this run more than a few thousand times a month? → n8n. The pricing model wins and keeps winning.
3. Do you need custom code or AI agents with tool calling? → n8n.
4. Do you need branching and array handling, but no code? → Make.
5. Is it under five steps and maintained by a non-technical person? → Zapier.
6. Does only one platform have the integration you need? → That one. Availability beats elegance.

What we do in practice

For client work we default to n8n, usually self-hosted, for the core operational workflows: lead intake, CRM sync, AI agents, anything touching sensitive data or running at volume. That is where the pricing model, the code escape hatch and the data control all compound. Our Dubai real estate lead automation runs on exactly this stack.

We keep Zapier or Make for the edges: a one-off integration only they support, or a workflow a client's own non-technical team needs to edit without calling us. Handing someone a tool they will actually maintain beats handing them a better tool they will not touch.

The mistake is treating this as a religious question. It is a per-workflow decision, and mixing is normal. More on who we are and how we work.

FAQ

Is n8n really cheaper than Zapier?

At meaningful volume, substantially, because the pricing units differ. Zapier bills per task (roughly per action), so a six-step workflow costs six times a one-step one on every run. n8n bills per execution, so workflow complexity is free, and self-hosted there is no per-run cost at all. At very low volume the difference is negligible and Zapier's free tier may be cheaper in practice.

Can n8n replace Zapier completely?

For most workflows, yes. The gap is integration catalogue, since Zapier supports more individual SaaS tools out of the box. n8n covers this with a generic HTTP request node, which handles any tool with an API but requires you to read the API docs rather than click a pre-built connector.

Is n8n open source?

It is source-available under the Sustainable Use License, not OSI open source. You can self-host, modify and use it commercially, including for client work. You cannot resell it as a competing hosted automation product.

Which is best for building AI agents?

n8n, clearly. It ships LangChain-based agent nodes with memory, tool calling and vector store integration, so an agent can decide which action to take rather than following a fixed path. Make and Zapier both offer AI steps, but they are closer to "call a model in the middle of a linear workflow" than true agents.

Do I need a developer to use n8n?

Not to use it, but you will get further with one. The visual builder is usable without code, but n8n assumes familiarity with APIs, JSON and data structures in a way Zapier deliberately does not. Self-hosting additionally needs someone comfortable running a server.

Can I migrate from Zapier to n8n?

Yes, though not automatically. There is no import tool, so workflows are rebuilt rather than converted. In practice this is usually an improvement, because Zaps tend to carry workarounds for limitations n8n does not have, and rebuilding lets you collapse several Zaps into one workflow.