Transparency note: This is an independent comparison based on publicly available information and our hands-on experience building automations on all three platforms for clients, current as of July 2026. Smoothly is not affiliated with, sponsored by, or endorsed by Zapier Inc., Make (Celonis), or n8n GmbH. Zapier®, Make®, and n8n® are trademarks of their respective owners. Features and pricing change — verify current details on the official Zapier, Make, and n8n websites.
When a small business decides to automate — follow-up emails, lead routing, data syncing between tools — three platforms dominate the conversation: Zapier, Make (formerly Integromat), and n8n. We build client automations on all three, and all three are excellent. They just excel at different kinds of work. Here's the honest breakdown.
TL;DR: Zapier is the fastest way to build simple, reliable automations, with the largest app library and the gentlest learning curve. Make gives you a visual canvas for complex, multi-branch workflows and granular data control. n8n adds first-class AI workflow support, real code when you need it, and a self-hosting option — at the price of a steeper learning curve. Simple linear tasks → Zapier. Complex branching logic → Make. AI steps, custom logic, or data control → n8n. Many businesses (including our clients) run more than one.
Zapier pioneered no-code automation: "Zaps" that connect a trigger in one app ("new form submission") to actions in others ("create CRM contact, send Slack message"). Its defining strength is breadth and simplicity — thousands of app integrations and an editor a non-technical person can learn in an afternoon.
Make is a visual automation platform where workflows ("scenarios") are drawn on a canvas — modules connected by lines, with branches, filters, iterators, and routers visible at a glance. It exposes more of the machinery, which means more power and a somewhat steeper learning curve.
n8n is also a canvas-based platform, but with a different center of gravity: AI workflows and developer flexibility. AI agents, LLM steps, and document processing are built into the editor, any step can drop into real JavaScript or Python when no-code blocks run out, and the platform can be self-hosted — your automations and data can run on infrastructure you control.
| Zapier | Make | n8n | |
|---|---|---|---|
| Learning curve | Gentlest — most users self-serve | Moderate — powerful once learned | Steepest — rewards technical comfort |
| App coverage | Largest directory available | Large, covers most business tools | Solid, plus HTTP/code for anything else |
| Complex branching logic | Possible, harder to visualize | Native strength — visual canvas | Native strength — visual canvas |
| AI capabilities | AI steps available | AI modules available | Built-in AI agents & LLM workflows — its specialty |
| Custom code | Limited code steps | Functions & HTTP modules | Full JavaScript/Python steps anywhere |
| Hosting | Cloud only | Cloud only | Cloud or self-hosted |
| Pricing model | Task-based tiers | Operations-based tiers | Execution-based tiers |
| Best fit | Simple, linear automations maintained by non-technical users | Multi-step, branching, data-heavy workflows | AI-powered workflows, custom logic, self-hosted setups |
When we scope automation projects for clients, the decision usually comes down to two questions: can this workflow be drawn as a straight line, and does it need to think?
Plenty of businesses run a mix: Zapier for the simple stuff the team manages, Make or n8n for the heavy workflows an implementer built. The platforms coexist fine — this isn't a marriage.
The most common automation failure we see isn't choosing the wrong platform — it's automations that fail silently. An API changes, a field gets renamed, and the workflow stops running with nobody noticing for weeks. Whichever tool you use, set up failure notifications and error routes from day one, and check run logs periodically. Our Workflow Automation and Software Integration services build this in as standard — failures get flagged and logged, never swallowed.
Often at higher volumes, but not universally — the models differ (tasks vs. operations), so a workflow that's cheap on one can be expensive on the other. Estimate your monthly run volume and price it against both official pricing pages before committing.
n8n offers a self-hosted community edition alongside paid cloud and enterprise plans. Self-hosting can reduce subscription costs, but remember it shifts server setup, updates, and maintenance onto you (or your implementer) — "free software" isn't the same as free ownership. Check the official n8n pricing page for current terms.
There's no one-click migration — workflows need rebuilding on the other platform. The logic transfers conceptually, so migration is straightforward work rather than a rescue mission, but it's a reason to think about volume and complexity before you build dozens of workflows.
If the entire workflow lives inside your CRM, no — use the native automation. Zapier, Make, and n8n earn their place when a workflow crosses tools: your form provider to your CRM to your accounting software, for example. Most growing businesses eventually need both native and cross-tool automation.
Yes. We build and maintain automations on Make, Zapier, n8n, and native platform tools, and we'll recommend whichever is genuinely right for each workflow — including the boring answer when the built-in option is enough. Book a free discovery call and we'll map your highest-value automations.