CyberFreezeDev
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Three app-connecting tools compared on who they suit, how they bill and where data runs.
Zapier for quick, modest links by non-technical staff, Make for involved scenarios without a server, n8n for sensitive data, self-hosting, code and agents.
Pick Zapier when non-technical staff need to connect common SaaS apps quickly and the volume is modest. It has the largest app directory of the three and the gentlest learning curve.
Pick Make when an operations or marketing team wants to build and own more involved scenarios, with branches, lists of items and careful field mapping, and nobody wants to run a server.
Pick n8n when the workflows carry sensitive data, need to run on your own infrastructure, reach internal systems, or need code and AI agents in the middle. It is the only one of the three you can host yourself.
For each pair in detail, read n8n vs Zapier and n8n vs Make.
| Compared on | Zapier | Make | n8n |
|---|---|---|---|
| Hosting | Zapier's cloud only | Make's cloud only | n8n Cloud, or self-hosted on your own server |
| Billing unit | Tasks: each successful action step | Credits: most module actions use one | Executions on n8n Cloud: one per full workflow run; none when self-hosted |
| Cost as workflows grow longer | Rises with every action step | Rises with every module and every item looped over | Flat per run on Cloud; server cost only when self-hosted |
| Editor | Linear steps, easiest to start | Visual scenario canvas with routers, iterators and aggregators | Node canvas showing the data between steps |
| Custom code | Code steps, limited | Limited; mostly built from modules | JavaScript and Python Code nodes |
| Reaching private systems | Needs the system exposed to the internet | Needs the system exposed to the internet | Can run inside your network |
| AI steps | AI actions and app connectors | AI modules and app connectors | AI Agent and LLM nodes, any provider or a local model |
| Best fit owner | Any staff member | Operations or marketing staff comfortable with logic | A developer or technical operator |
Billing details from each vendor's pricing page: Zapier, Make, n8n. Checked 13 October 2026; plans change, so check before you buy.
Zapier counts action steps, Make counts module actions per item, and n8n counts runs. For long, frequent workflows the gap usually favours n8n.
The billing units look similar and behave very differently.
Zapier counts a task for each action step that runs successfully. Triggers, failed steps and built-in utilities such as Filter and Formatter are not counted. A five-step Zap that runs 1,000 times a month uses about 5,000 tasks.
Make counts credits per module action, and a scenario that loops over items uses credits for each item at each module. A ten-module scenario that processes 20 order lines can use well over 200 credits in a single run.
n8n Cloud counts one execution per workflow run, however many nodes it has, so the same order-processing workflow is one execution. Self-hosted n8n has no per-run charge at all; you pay for the server and for whoever looks after it.
So for a handful of short automations, the differences are small and convenience wins. For long workflows that run often, the gap is wide, and it usually favours n8n. Our free AI automation ROI calculator helps you weigh the running cost against the time saved.
A form, a CRM and a Slack channel connected in an afternoon without help.
A sales manager can connect a form to a CRM and a Slack channel in an afternoon without help. For simple, low-volume links between popular apps, that is hard to beat.
Routers and item counts drawn on the canvas keep branching scenarios readable.
Routers, iterators and aggregators are drawn on the canvas, with a count of items on every module after a run. A non-developer can follow a branching scenario months later.
Self-hosted n8n sits beside your database, ERP or local language model.
Self-hosted n8n can sit next to your database, your ERP or a local language model. That matters under the DPDP Act 2023 or UK GDPR, and when a workflow has to parse an awkward file format or call an internal API.
An agent runs as one node, with retries, logs and a person approving its output.
An AI agent can run as one node in a larger workflow, with retries, logs and a person approving its output before anything is sent.
If data must stay on your servers, self-hosted n8n is the only option.
If yes, n8n self-hosted is the only one of the three that does that. Stop here.
Without a technical owner, pick Zapier for simple links or Make for branching scenarios.
If no, choose between Zapier and Make. Zapier for simple app-to-app links, Make for branching scenarios a power user will maintain.
Count steps, items and runs at your volume, and the cheapest tool often becomes obvious.
Count action steps times runs per month for Zapier, modules times items times runs for Make, and runs for n8n Cloud. The cheapest at your volume is often obvious at this point.
All three call models; for agents with tools, approvals and logs, n8n is most flexible.
All three can call a language model. For agents that use tools in a loop with approvals and logs, n8n is the most flexible of the three.
Our default is self-hosted n8n for client builds with private data and AI steps. A Zapier or Make setup that works well is left alone.
For the client systems we build and support, our default is n8n, usually self-hosted, through our n8n integrations service. Our builds tend to involve private data and AI steps, such as an approval workflow with AI routing and an audit trail, or WhatsApp lead handling wired into a CRM. Those need code, retries, inspectable logs and a server the client controls.
That is a statement about our kind of work, not a verdict on the other two. If a marketing team already runs Zapier or Make well, we leave it alone and connect to it. If you are unsure whether you need a fixed workflow at all, or an agent, read AI agent vs workflow automation, and see our AI workflow automation service for how we scope a first project.
For a few short automations, the free or entry plans of any of them may be enough. For long workflows that run often, self-hosted n8n is usually cheapest because there is no per-run charge, but you pay for a server and its upkeep.
Zapier, for simple linear automations. Make is next, and rewards people comfortable with logic. n8n assumes some technical comfort, especially once you use code or self-host it.
Yes, but there is no direct import; each automation is rebuilt. We run the old and new versions side by side on real inputs before switching the old one off.
n8n is source-available under its own Sustainable Use License, which allows internal business use of self-hosted n8n. Read the licence if you plan to resell it as a service.
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