Once a business decides to stop copying data between tools by hand, it usually ends up comparing n8n, Make.com and Zapier. All three connect hundreds of apps, all three can call Claude, OpenAI or Gemini, and all three can save a team hours a week.
We build on all three, so we don’t have a favorite to sell you. Our AI invoice automation runs on Zapier and our AI document processing workflow runs on n8n. What follows is the reasoning we use to decide which tool a workflow belongs in.
In one paragraph
Zapier is the quickest to set up, has the widest range of app connections and is the easiest for a non-technical team to own, but it gets expensive at high volume. Make.com gives you visual scenarios with branching and loops at a lower cost per action, a good middle ground. n8n gives you the most control, including self-hosting and custom code, and suits high volume, sensitive data and complex logic, but it needs someone technical to look after it.
How they charge (this matters more than the price)
Zapier counts tasks, roughly one for every action step that runs. Make.com counts operations, one for each module that runs, so a scenario that sends ten emails uses ten. n8n Cloud counts executions, one per workflow run however many steps it has, and the self-hosted Community Edition has no execution limit at all; you just pay for the server.
So a twenty-step workflow that runs thousands of times a day can cost very little on n8n and a lot on Zapier, while a two-step workflow that runs a few times a day is cheap anywhere. Prices move around, so check each pricing page against your real volumes before deciding.
Where your data goes
Zapier and Make.com run in their own cloud. n8n can run in its cloud or on your server. That difference matters when customer records, health information or contracts can’t pass through a third-party service, or when data has to stay in a particular country.
AI steps
All three can send text, documents or images to a model and use the answer in the next step: classify an email, pull fields from an invoice, draft a reply. n8n goes further, with agent-style workflows that use tools, memory and custom code. Zapier and Make.com keep AI steps simpler, which is often all you need.
Whatever you use, test AI steps on real examples before switching them on, and send anything uncertain to a person. That rule sits at the center of our AI automation work.
When something breaks
Every workflow fails eventually: an API is down, a field is empty, a file arrives in a strange format. What matters is whether you find out. Zapier shows failed runs and can replay them, enough for most simple workflows. Make.com has error-handling routes, so a scenario can take another path when a step fails. n8n has error workflows and full execution logs, and when self-hosted you can plug it into your own monitoring.
Who will look after it?
This is the question teams skip, and it’s often the one that decides. If an operations person will own the workflows, Zapier or Make.com is usually right, even if it costs a bit more. If you have a developer, or a partner who maintains it, n8n gives you much more room to grow.
Two of our builds, two different tools
For a finance team, invoices and receipts arrived by email and had to be typed into a system and filed by hand. We built it in Zapier: every invoice email is picked up, Gemini reads it and assigns a category, the document is filed in Google Drive, and the record is saved to PostgreSQL with a small app on top. The volume was moderate and the team wanted something they could understand themselves.
Another client had the data they needed locked inside PDFs, photos, scans and CSV exports in Google Drive, each in its own format. That needed more control over how each file type was handled, so we built it in n8n: it reads every file, uses AI to extract and tidy the data, stores it in Supabase and feeds a dashboard. Same goal of ending the retyping, different tool, because the volume, file types and owners were different.
How we’d choose
A few simple workflows owned by a non-technical team: Zapier. Multi-step workflows with branching at moderate volume: Make.com. High volume, sensitive data, custom logic or AI agents: n8n. And mixing them is perfectly fine; plenty of businesses run quick Zaps for small jobs and n8n for the workflows the business depends on.
Questions we often hear
Can we move our Zaps to n8n or Make.com?
Yes. Workflows have to be rebuilt rather than imported, but the logic carries over. We usually move the busiest or most expensive ones first.
Is self-hosted n8n hard to run?
Not if it’s set up properly: a small server, backups, updates and monitoring. Someone has to own that, which is part of the decision.
Which one is best for AI agents?
n8n, for most agent-style work, because of the control it gives you over tools, memory and custom code. For a single AI step inside a workflow, all three work well.
