Should I use Zapier, Make, or n8n?

Question

VX-N · Accepted Answer

Zapier is the fastest to start and the most expensive at volume. Make handles branching logic more cheaply. n8n is self-hostable and the cheapest to run at scale, and it costs you engineering attention instead. For most SMBs the honest answer is that the platform matters far less than whether anyone has mapped the process. The real differences show up at the edges, not on the pricing page. Zapier's advantage is connector breadth and the likelihood that a non-technical person can maintain what gets built — which matters more than it sounds, because the workflow's author eventually leaves or moves on. Make's visual model handles branching, iteration over lists, and multi-step logic that gets awkward in Zapier, at a lower per-operation price. n8n gives you self-hosting — real control over where data flows, no per-task metering — and in exchange you own updates, uptime, and security patches: you have traded a subscription for a system to administer, which is only a good trade if someone technical actually owns it. The trap is per-task pricing. A workflow that looks cheap in a pilot becomes a real monthly line item once it runs on every lead, and teams discover the cost after they have built on it. Before committing, do the arithmetic at real volume: multiply your actual monthly lead count, order count, or document count by the steps in the workflow, and price that — not the pilot. Data residency is the other pre-commitment check for Canadian businesses: a cloud automation platform is a processor of whatever personal information flows through it, which makes platform choice a vendor-assessment question under Law 25, and it is one of the arguments that moves regulated or privacy-sensitive workloads toward self-hosted n8n or custom code. There is also a ceiling to know about in advance. All three platforms are excellent at moving data between systems on triggers, and all three get painful when the logic becomes the product — complex branching, retries with state, multi-day processes, anything needing a real audit trail. The pattern that ages well: automate on a platform first, and when a workflow becomes business-critical or the metering becomes material, promote that one workflow to custom code while leaving the simple ones where they are. Platforms are how you learn what you need; code is how you own what proved essential. Switching between them later is usually not catastrophic — the logic transfers even when the connectors do not, and a rebuild of a well-documented workflow is days, not months. Picking wrong is recoverable; never writing the process down is not. The map of triggers, rules, field ownership, and failure behaviour is the durable asset, and it is portable across all three platforms and into custom code. Which is the honest summary of this whole comparison: the businesses that win with automation are the ones that know their process, on whichever platform happened to be nearest.