n8n, Make or Zapier: which one should run your automations?

At heart, n8n, Make and Zapier do the same job: they connect the tools you already use (email, CRM, spreadsheets, ERP, online store) and run steps automatically when something happens. All three let you add AI to those workflows, and any of them can automate most of a small business’s processes.

So the question is not which one is “best” but which one fits your business: your volume, where your data needs to live and, above all, who will be looking after the workflows a year from now. That is what this comparison focuses on.

The short version

We go through each point below. The details are as of October 2026; all three platforms change often, so confirm them on their pricing pages before you decide.

How each one bills (and why it matters more than the price list)

Prices change and every plan includes different amounts, so comparing list prices tells you little. What is worth understanding is which unit each one counts, because that is what will grow your bill as your workflows grow.

• Zapier bills by task. Every action that completes successfully uses one task. The trigger does not, and neither do helper steps such as filters, paths, formatting or delays. Zapier’s own AI steps use several tasks depending on the model chosen.
• Make bills by credit. Since August 2025, credits have replaced the old “operations” one for one. Every module that runs normally uses one credit, the trigger included. Make’s built-in AI modules use a variable number depending on the model and the size of what they process.
• n8n bills by execution in its cloud. One execution is one full run of the workflow, whatever its complexity: three steps or thirty makes no difference. If you host it yourself, you pay nothing per execution, but you do pay for the server and the time to maintain it.

Example. A workflow with one trigger and seven actions runs 2,000 times a month. In Zapier that is about 7 × 2,000 = 14,000 tasks. In Make, about 8 × 2,000 = 16,000 credits. In n8n’s cloud, 2,000 executions. This does not make one cheaper than another, because each plan includes different amounts of its unit; it means that with many steps and high volume n8n’s model grows more slowly, and with short workflows the gap narrows.

If you plan to host n8n yourself, read its licence. The Community edition is published under the Sustainable Use License: you can use it for your company’s internal processes, and a provider can build and maintain your workflows, but you cannot offer n8n as a service for others to build their own workflows without a commercial agreement. The licence FAQ spells it out with examples.

Where your data lives

If your business handles personal data about customers or staff, where it is processed matters, both for privacy law (the GDPR in the EU) and for what your own customers may require.

• n8n stores data in its cloud in the European Union, in Frankfurt. It is also the only one of the three you can host on your own server, so the data stays wherever you decide.
• Make lets you choose a data centre in the EU or the US when you create your organisation. Note that you cannot change it afterwards.
• Zapier stores data in the US and covers transfers from the EU with the EU-US Data Privacy Framework and standard contractual clauses. It does not offer a choice of region unless specifically agreed.

All three can be used in line with the GDPR if you sign their data processing agreement and send only the data you need. But if your internal policy or your customers require data to stay in Europe, the choice narrows to n8n or Make in its EU region. And if a workflow uses an AI model, that model’s provider is one more processor to account for.

Ease of use: who will maintain it

This is the most underrated question. A workflow is not built once and forgotten: tools change, exceptions appear, and someone has to understand what is going on when something fails.

• Zapier is the easiest to start with. Its editor is linear (one step after another) and anyone comfortable with web tools can build a simple workflow in an afternoon. It is the natural choice if the person maintaining it is not technical.
• Make uses a visual canvas where steps connect like a diagram. It takes a little longer at first, but it represents workflows with branches, loops and several routes better, and it is easier to see at a glance what a complex scenario does.
• n8n is visual too, but built for more technical people: it works naturally with JSON, lets you write code (JavaScript or Python) inside a step and call any API even without a ready-made connector. More control, in exchange for more demands on whoever runs it.

If nobody on your team will touch the workflows and an outside provider will maintain them, ease of use matters less than clarity: what matters is that the workflows are documented and the accounts are in your company’s name.

Complex logic, errors and debugging

With simple workflows (when A happens, do B) all three do equally well. Differences show up as the process grows:

• Branches and loops. Processing each line of an order, choosing between several routes or repeating until a condition is met feels more natural in Make and n8n than in Zapier, although Zapier can do it too.
• Error handling. In a real process an API fails, a field arrives empty or a record already exists. Make and n8n let you define in detail what to do in each case (retry, take another route, alert someone). Zapier has options, but coarser ones.
• Debugging. All three keep a history of runs. In Make and n8n you can see the data going in and out of every step, which makes finding a fault much faster.

AI and agents

All three let you call models from OpenAI, Anthropic and other providers from a workflow step, with your own key. Each also has its own pieces:

• n8n has an AI Agent node to which you connect a model, tools and memory, and which decides which tool to use at each moment. It can also expose your workflows to other assistants through MCP (the open protocol for connecting tools to AI models) and use external tools the same way. It gives you the most control over how the agent behaves.
• Make offers Make AI Agents, a set of AI tools for jobs such as extracting or classifying content, an assistant that helps build scenarios, and an MCP server so that assistants such as Claude or ChatGPT can run your scenarios.
• Zapier builds AI in as steps inside workflows (AI by Zapier), has an assistant that creates workflows from a plain-language description, and offers Zapier MCP, which gives an AI assistant access to actions in the apps Zapier connects. Its standalone agents product is being folded into AI by Zapier.

In practice, for most small-business processes the difference in AI matters less than it seems. What decides whether a workflow with AI works well is not the platform but having checks after every AI step and human review of anything doubtful, as we explain in how to automate invoice processing with AI.

When to use none of them

Platforms have limits. Consider custom code when:

• Volume is very high and the platform’s cost per run exceeds what a small service of your own would cost to maintain.
• The logic is so complex that the visual workflow becomes harder to follow than the equivalent code.
• You need to connect to software with no API, or one the platforms do not cover well.
• Security or audit requirements demand full control over where and how everything runs.

Often the best answer is mixed: the platform orchestrates the standard steps and a service of your own handles the part that does not fit. We describe that in integrations and custom software.

How to choose

If we had to boil it down to one rule each:

• Choose Zapier if the person maintaining the workflows is not technical, your workflows are simple or mid-sized, volume is moderate and starting today matters more than optimising cost. And if you have no requirement for data to stay in Europe.
• Choose Make if your processes have branches, loops and many steps, you want to build them visually without code, and you would like your data in the EU without hosting anything yourself.
• Choose n8n if you have (or hire) someone technical, your workflows have many steps and high volume, you need to host it on your own server for data control, or you want AI agents with fine-grained control.

It is not unusual to end up with two: say, Zapier for small automations the team builds itself and n8n for the critical processes. What matters is that the choice is deliberate and documented.

What matters more than the tool

On all three platforms you can build excellent workflows or unmaintainable ones. The difference almost never comes from the tool, but from these habits:

• The accounts belong to your company. The platform, the connections and the API keys should be in your company’s name, not the person’s or provider’s who set them up.
• Every workflow is documented. What it does, what triggers it, which tools it depends on and whom to alert if it fails.
• Errors alert someone. A workflow that fails silently is worse than none.
• Start with one process and measure it. Before choosing a platform for the whole company, automate one specific process and see how it behaves. If you are not sure which one yet, start with our guide to AI process automation for small businesses.

We work with all three and with custom code, so we have no favourite to sell you. If you would like us to tell you which fits your case, in the free 30-minute audit we review a specific process with you and recommend, in writing, the tool, the approach and the cost. See what our AI automation and agents service covers, or write to us from the contact page.

Frequently asked questions

Which one is cheapest?

It depends on your workflows. Zapier counts each action, Make each module and n8n each full run. With many steps and high volume, n8n's model grows more slowly; with short workflows the gap narrows. Compare using one of your real workflows and current plans.

Can I use n8n for free?

The Community edition can be hosted on your own server with no per-execution fee, but you pay for the server and the time to maintain it. Its licence allows use for your company's internal processes, not offering it as a service to others without a commercial agreement.

Which is best for GDPR compliance?

All three can be used in line with the GDPR if you sign their data processing agreement. If data must stay in Europe, the options are n8n, in its Frankfurt cloud or on your server, and Make in its EU region. Zapier stores data in the US.

Can I switch platforms later?

Yes, but workflows do not export from one to another: they have to be rebuilt. Documenting each workflow, with its steps, rules and dependencies, keeps the cost of switching down.