Three tools, three philosophies
n8n, Make, and Zapier all connect apps and automate workflows, but they are built on different bets. Zapier bets on simplicity and breadth: the largest app catalogue and the gentlest on-ramp. Make bets on visual power: a canvas that handles complex branching and data shaping at moderate cost. n8n bets on control: an open-source engine you can self-host, with deep AI and agent support and no per-task billing. The right answer depends less on features in isolation and more on your data sensitivity, your volume, and who maintains the workflows. We work across all three, and the choice is usually made by the constraints below, not by brand preference.
Data sovereignty
This is the sharpest difference. Zapier and Make are cloud-only: your data flows through their infrastructure, predominantly hosted offshore, on every run. For many marketing and admin workflows that is fine. For workflows touching personal information, health records, or financial data, it introduces a third party into the data path that you must account for. n8n can be self-hosted, including on Australian infrastructure, so the data never leaves an environment you control. For Australian businesses with obligations under the Privacy Act, that distinction matters, and the OAIC's privacy guidance is the reference point for deciding whether a cloud automation tool is acceptable for a given dataset.
Source notes: OAIC privacy guidance
Cost at scale
The pricing models diverge as you grow. Zapier charges per task, every step in every run, so cost scales directly with volume; a high-frequency workflow can become surprisingly expensive. Make charges per operation but typically gives more value per dollar at moderate volume, and its bundling makes multi-step workflows cheaper than Zapier's equivalent. n8n self-hosted has effectively no per-run cost, you pay for the server, so at high volume it is dramatically cheaper, with the trade-off that you carry the hosting and maintenance. The rule of thumb: low volume favours Zapier's convenience, moderate volume favours Make's economics, and high volume or sensitive data favours self-hosted n8n.
Self-hosting and control
Only n8n offers genuine self-hosting. You run it on your own VPS or server, control updates, hold the credentials, and keep the data in your environment. That control is the whole point for security-conscious work, but it is not free: someone has to provision the server, keep it patched, and own uptime. Zapier and Make remove that burden entirely, which is a real benefit for teams without technical operations capacity. There is no universally correct answer here, only a trade between control and convenience. Teams that want n8n's control without the operations overhead often have us deploy and maintain it for them as part of a secure automation build.
AI and agent support
All three have added AI features, but they are not equal. n8n has invested heavily in AI and agent workflows, with native nodes for building multi-step agents, tool use, and chaining models together, and it works cleanly with both OpenAI and Anthropic models. Make has solid AI modules and a capable visual approach to chaining AI steps. Zapier offers AI actions and a chatbot builder that suit simpler assist-and-draft patterns well. If your roadmap is mostly connecting apps with the occasional AI summarisation step, any of the three works. If you are building genuine agent workflows with tool use and decision loops, n8n is the most capable, and the provider documentation is the place to confirm what each model supports.
Source notes: OpenAI platform documentation, Anthropic Claude documentation
Learning curve
Zapier is the easiest to start: a linear trigger-and-action model that a non-technical operator can build in minutes. Make is steeper because its canvas exposes more power, branching, iterators, data transformation, which is exactly why capable users prefer it once past the initial climb. n8n sits steepest of the three: the self-hosting and the expression syntax assume some technical comfort, and the payoff is the most flexibility and the lowest running cost. Match the tool to the builder. A non-technical team that must own its own automations is usually better served by Zapier or Make, even if n8n would be cheaper at scale.
How to choose
Decide in this order. First, data sensitivity: if the workflow touches personal, health, or financial data that should not leave Australian-controlled infrastructure, self-hosted n8n is the safe default. Second, volume: high run counts favour n8n on cost; low to moderate favour Zapier or Make on simplicity. Third, the builder: if non-technical staff must maintain it, lean Zapier or Make. Fourth, AI ambition: serious agent work favours n8n. Most businesses end up with a blend, Zapier or Make for low-risk marketing and admin automations, and self-hosted n8n for anything touching sensitive data or running at high volume.