Choosing between n8n, Make and Zapier mostly comes down to three questions: where must your data be processed, who will build and maintain the workflows, and how many executions do you expect. In short, Zapier suits non-technical teams that want to connect mainstream SaaS apps quickly; Make suits teams that need richer scenarios in a visual builder with good value for features; n8n suits companies that want the option to self-host, keep control of their data and have technical skills available.
None of them wins in every case. A Tunisian SME sending website form entries to a spreadsheet and an inbox has very different needs from a business syncing an ERP, a WooCommerce store and a CRM thousands of times a day. This guide compares the three platforms on practical criteria and ends with a decision checklist.
What all three have in common
They share one model: a trigger (new form submission, new order, new email, a schedule) starts a chain of actions in other applications (create a contact, send a message, update a row, call an API). Zapier calls this a Zap, Make a scenario and n8n a workflow.
All three offer ready-made connectors, filters and conditions, error handling, generic HTTP requests to any API, and building blocks for calling AI models. The differences lie in how you build, where it runs, how you pay and how deep you can go technically.
Side-by-side comparison
| Criterion | Zapier | Make | n8n |
|---|---|---|---|
| Hosting | Cloud only (SaaS) | Cloud only (SaaS) | Vendor cloud or self-hosted on your own server |
| Control over data location | Depends on vendor infrastructure | Hosting region choice depending on plan | Full when self-hosted |
| Pricing logic | Subscription based on tasks executed | Subscription based on usage (operations or credits) | Cloud: per workflow execution; self-hosted: licence terms apply, infrastructure costs are yours |
| Learning curve | Easiest | Moderate, very readable visual canvas | Steeper, especially self-hosted |
| Complex logic (loops, branches, data shaping) | Possible but limited quickly | Very good | Very good, plus JavaScript or Python code steps |
| Connector catalogue | Largest | Large | Large, extended by community nodes and HTTP |
| Skills required | Business user | Power user | Technical profile or supported power user |
Exact prices change often, so always check the official pricing pages before deciding. What matters most is the billing logic, because it drives your long-term cost.
How billing really works
- Zapier mainly charges for tasks: each successful action counts. A five-action Zap triggered 1,000 times uses roughly 5,000 tasks.
- Make charges for usage per module run. Well-designed scenarios, with filters placed early and batched processing, use much less.
- n8n Cloud charges per workflow execution: one full run counts once regardless of how many steps it has, which favours long workflows. When self-hosting, you pay for the server, maintenance and your team's time; also review n8n's "fair-code" licence against your use, particularly if you embed it in a service sold to others.
A common trap is a workflow that polls every minute for new data. It consumes resources even when nothing has changed. Use webhook triggers whenever the source app supports them.
Hosting and personal data
For a Tunisian company handling customer, patient or employee data, this is often the deciding factor. Personal data processing in Tunisia is governed by Organic Law No. 2004-63 of 27 July 2004 and supervised by the INPDP. With Zapier and Make, data passes through the vendor's servers outside Tunisia, which must be part of your compliance analysis, especially regarding transfers abroad.
Self-hosted n8n lets you keep processing on a server you control, in Tunisia or elsewhere. The trade-off is that security becomes your job: updates, backups, encryption, access management and monitoring. A neglected server is riskier than a well-run cloud service.
Whatever you choose, apply data minimisation: only pass the fields a workflow actually needs.
Three typical scenarios
A travel agency centralising enquiries
Requests come in from the website form, Facebook and email. The goal is to collect them in a Google Sheet or CRM and alert the right agent. Modest volume and a non-technical team: Zapier or Make fit well, and Make is often cheaper once the scenario has several branches.
A WooCommerce store syncing orders, stock and invoicing
Hundreds of orders a month, business rules for statuses, carriers and reminders, plus data transformations. Make handles this level of complexity well in a visual way. n8n makes sense if the team is technical or if volume makes per-execution billing attractive.
A clinic or practice handling health data
The data is sensitive and its location matters. Self-hosted n8n on controlled infrastructure, after confirming your obligations with the INPDP, gives the most control, provided you have the skills to run it securely.
Adding AI to a workflow
All three platforms can call a language model mid-workflow: classifying an incoming email, extracting fields from a quote request, summarising a ticket or drafting a reply. This is often where automation becomes genuinely useful, but a few rules apply:
- Validate the output: a model can pick the wrong category or invent a value. Add format checks and a human review queue for uncertain cases.
- Send the model only the data it needs, especially when personal data is involved.
- Watch the costs: every AI API call is billed by the model provider, on top of the automation platform itself.
- Keep a log of automated decisions so you can explain and correct them later.
- Start in suggestion mode: let the AI propose and a person approve, then automate fully only once error rates are acceptable.
Quick decision checklist
Work through these questions in order:
- Is the data sensitive or subject to location constraints? If yes, favour self-hosted n8n or check the hosting options of the cloud plans in detail.
- Who builds and maintains? Nobody technical: Zapier or Make. A developer or integrator available: n8n becomes a serious option.
- How complex? Two or three linear steps: Zapier is enough. Branches, loops, data shaping: Make or n8n.
- What volume? Estimate monthly triggers and steps per run, then model the cost using each vendor's official pricing.
- Do the connectors exist? Check that your applications, including local ERP, point-of-sale or industry tools, are supported or expose an API you can reach over HTTP.
Prerequisites and limits
- Document every workflow: trigger, steps, owner, data processed. Without it, one person leaving can stall the whole chain.
- Plan for errors: failure alerts, re-runs, logging.
- Test with dummy data before going live.
- Review usage monthly to avoid overages.
- Keep a human in the loop for irreversible or customer-facing actions such as sending to a client or editing an invoice.
- Avoid single points of failure: an API change or a retired connector can break a workflow, so keep a manual fallback procedure.
In practice
Start with one high-value, low-risk process, measure the time saved and errors avoided, then expand. Your platform choice can evolve: many teams start on Zapier or Make and move some workflows to n8n as volume or control requirements grow. Astronet Agency trains teams on all three tools and can help design and set up your first workflows.