n8n vs Make vs Zapier — which should you choose? The short answer: pick Zapier if you want the fastest path to a working automation and your flows are simple app-to-app triggers; pick Make if you need real branching, loops and visual logic at a friendlier price; and pick n8n if you want self-hosting, data control, lower cost at scale, or you are building AI agents and custom logic into your workflows. All three connect your tools and run process automation reliably — the right choice depends far more on your team, your data rules and your roadmap than on a feature checklist.
This guide is written for operations and technology leads in the Netherlands and the wider Benelux who are choosing an automation platform and want a balanced, jargon-free read. We build on all three at Crux Digits, so we have no horse in this race — we recommend the simplest tool that does the job, not the most expensive.
The three platforms in one line each
- Zapier — the easiest to start with and the largest app library; ideal for straightforward "when X happens, do Y" automations across SaaS tools.
- Make (formerly Integromat) — a powerful visual builder that handles complex, multi-step scenarios with branching and iteration, usually cheaper than Zapier at volume.
- n8n — open-source and self-hostable, the most flexible and developer-friendly; built for custom logic, data sovereignty and AI or agent workflows.
Zapier: fastest to value, priced per task
Zapier is the platform most teams meet first, and for good reason. It has the broadest catalogue of pre-built integrations and an interface that a non-technical marketer or ops person can use on day one. If your need is "new lead in the form, add a row to the sheet and a card in the CRM," Zapier gets you there in minutes with no setup, no servers and no code.
The trade-offs show up as you grow. Zapier is cloud-only and priced largely by the number of tasks (each action step a workflow runs), so a few high-volume automations can become surprisingly expensive. Complex logic — multi-branch paths, loops, error handling — is possible but feels constrained compared with the others. Zapier has added AI features and steps that call models, which cover many everyday use cases, but it is not where you would architect a stateful AI agent. Best for: small teams, simple SaaS automations, and getting a result today.
Make: the visual middle ground for complex flows
Make sits between Zapier's simplicity and n8n's openness. Its canvas-based, visual builder is genuinely strong for complex workflows: you can see data flow between modules, branch on conditions, iterate over arrays and transform payloads with built-in functions. For teams whose automations have real business logic — not just a single trigger and action — Make often does more for less money.
Pricing is based on operations rather than Zapier-style tasks, and a single scenario typically consumes operations more granularly, which can work out cheaper at volume but rewards thoughtful design. Make is still a managed cloud product, so you do not control where execution happens — relevant if you have strict data-residency or GDPR requirements. It supports AI modules and can call models within a scenario, making it a solid choice for AI-assisted flows that do not need a fully custom agent runtime. Best for: teams that have outgrown simple triggers and want visual power without running their own infrastructure.
n8n: flexibility, self-hosting and AI-native workflows
n8n is the most flexible of the three and the one we reach for most often on AI projects. It is open-source and self-hostable, which changes the economics and the data story entirely: you can run it on your own infrastructure inside the EU, keep sensitive data in-house, and avoid per-task pricing that scales with usage. There is a managed cloud option too, but self-hosting is where n8n's appeal really lives for regulated and high-volume teams.
Where n8n pulls ahead is custom and AI work. It ships with nodes for LLMs, vector stores and agent patterns, and crucially it lets you drop into JavaScript or Python for any step the visual nodes do not cover. That makes it the natural home for AI agents, retrieval-augmented generation (RAG) and workflows that touch internal APIs and databases. The price of that power is a steeper learning curve and real ownership: if you self-host, you maintain it. For many of our clients that is exactly the trade they want — full control over data and cost. Best for: custom logic, data sovereignty, lower cost at scale, and AI or agent workflows. If you want to understand the AI side more deeply, our explainer on the difference between an AI agent and a chatbot pairs well with n8n's agent capabilities.
Side by side: how they compare
- Ease of use — Zapier easiest, Make moderate, n8n steepest.
- Pricing model — Zapier per task (higher at scale), Make per operation (mid), n8n free to self-host (lowest at scale) or paid cloud.
- Hosting — Zapier cloud-only, Make cloud, n8n cloud or self-hosted (EU data control).
- Complexity & logic — Zapier good, Make strong (visual branching/loops), n8n highest (plus custom code).
- AI & custom steps — Zapier basic AI steps, Make solid AI modules, n8n excellent (native agents, RAG, code).
How to choose the best automation platform for your team
Forget the feature wars and start with three questions. First, how complex is the logic? A single trigger and action points to Zapier; branching, loops and data transformation point to Make or n8n. Second, where must your data live? If GDPR, data residency or sensitive records mean you cannot send everything to a third-party cloud, self-hosted n8n is the clear answer. Third, is AI in your roadmap? Light AI steps are fine in any of the three, but agents, RAG and deep custom integration are where n8n shines.
A practical rule we use: match the tool to the workflow, not the workflow to the tool. Plenty of teams happily run a mix — Zapier for quick marketing automations and n8n for the data-heavy, AI-driven core. The cost question is rarely about the sticker price of a plan; it is about how usage scales. If you want to model that properly for an AI build, our guide to AI consultancy costs breaks down where the real spend sits, and our pricing page shows how we work.
How Crux Digits helps
We design and build workflow automation on whichever platform fits — and where off-the-shelf tools stop, we build custom. When a workflow needs AI agents, grounding or deeper system integration, that is exactly our AI implementation work. When it needs reliable pipelines and clean data underneath, that is data engineering; and when it needs a real application around the automation, that is application development. You can see how this plays out in our case studies. We will always recommend the simplest tool that does the job — and tell you honestly when you do not need us at all.
Frequently asked questions
Which is best: n8n, Make or Zapier?
There is no single winner — it depends on your needs. Zapier is best for the simplest SaaS automations and the fastest start, Make is a strong visual middle ground for complex multi-step flows, and n8n is the most flexible and can be self-hosted, making it ideal for custom logic, data control and AI-heavy workflows.
Is n8n a good Zapier alternative?
Yes — especially if you want self-hosting, lower cost at scale, EU data control, or deep custom and AI integrations. Because n8n is open-source and lets you run code, it removes Zapier's per-task pricing and its cloud-only limitation. The trade-off is a steeper learning curve and, if you self-host, the responsibility of maintaining it.
Which tool is best for AI agents and RAG workflows?
n8n is usually preferred for AI agents and retrieval-augmented generation (RAG) thanks to its native AI nodes, support for vector stores, and the ability to write custom JavaScript or Python. Make and Zapier can both call AI models for lighter use cases, but n8n is the most capable when you need a stateful agent or deep integration with internal systems.
How do the pricing models of n8n, Make and Zapier differ?
Zapier charges mainly per task (each action step), which can get expensive at high volume. Make charges per operation, which is typically more granular and cheaper at scale. n8n can be self-hosted for the cost of your own infrastructure, removing usage-based pricing entirely, or used as a paid managed cloud. For high-volume or data-heavy workloads, self-hosted n8n is usually the lowest cost.
Can I use more than one automation tool at the same time?
Absolutely, and many teams do. A common pattern is Zapier for quick, non-technical marketing automations and n8n for the data-heavy, AI-driven core that needs custom logic and data control. The goal is to match each tool to the workflow it fits best rather than forcing everything onto one platform.