I have shipped around thirty automations since 2024, spread across Zapier, Make and n8n. People ask which is best. The honest answer is that they fail at different points, and knowing where each one stops is more useful than knowing what each one does.
Zapier stops when the logic branches
Zapier is the fastest way to connect two things that need to talk. Form to CRM, booking to spreadsheet, payment to email. My earlier builds were mostly Zapier: enrollment forms into ClickFunnels and ActiveCampaign, Calendly bookings updating a sheet, inquiries routed into Zoho.
It stops being the right tool the moment your logic branches more than once or twice, or the moment you need to reshape data rather than pass it along. You can force it, but you end up with a chain of steps that nobody can debug later, and per-task pricing that gets uncomfortable as volume grows.
Reach for it when the job genuinely is two systems and a straight line between them.
Make is the visual middle
Make handles branching and data reshaping properly, and you can see the whole thing at once. Routers, iterators, aggregators and error handlers are first-class rather than bolted on. Most of my client work through 2026 sat here: lead scoring into sales tiers, patient intake syncing into a CRM, enrollment onboarding that creates records and Drive folders and writes links back.
Its weak spot is visibility rather than capability. A scenario that runs green while quietly doing nothing is a real failure mode — a bundle can take a route where nothing matches and the execution still reports success. That is fixable with discipline, but you have to know to look.
n8n is where you go when you need code
n8n is the one I reach for when a build has real engineering in it: custom logic in JavaScript, AI agents with tools attached, self-hosting, or anything where per-task pricing would make the whole thing uneconomic.
That is where the heavier work lives — a pipeline that turns a supplier link into a complete Shopify listing with generated photography, a conversational agent running inside WhatsApp, a lead engine that qualifies and books appointments on its own. All of those need code nodes, retry logic and error branches that the other two would make awkward.
The cost is that n8n asks more of you. There is no meaningful free ride on setup, and self-hosting is a real responsibility rather than a checkbox.
How to actually choose
- Count the branches. One path, no reshaping: Zapier. Several paths and real data manipulation: Make. Custom code or AI agents with tools: n8n.
- Look at volume. Per-task pricing is fine at low volume and punishing at high volume. If runs will scale, that changes the answer on its own.
- Ask who maintains it. A non-technical team is better served by a Make scenario they can read than an elegant n8n workflow they cannot touch.
- Consider where the data lives. Sensitive data plus a self-hosting requirement points at n8n before anything else does.
And one thing that applies whichever you pick: name every step for what it does. A workflow of modules called HTTP, Router and Set tells you nothing six months later, and that reconstruction cost is why people avoid touching automations that are quietly broken.