Compare n8n, Make, and Zapier on cost, AI features, self-hosting, reliability, and fit for business automation.
Compare n8n, Make, and Zapier on cost, AI features, self-hosting, reliability, and fit for business automation.
✓Marketing or ops team with real volume, no engineers: Make. Power without a server to babysit.
✓Data-heavy, AI-heavy, privacy-sensitive, or cost-sensitive at scale: n8n — self-hosted if you have anyone technical, its cloud if not.
✓Mixed reality (most companies): perfectly fine. Zapier for the long tail of small conveniences; n8n or Make for the heavy core pipelines.
Whichever platform runs it, the design principles are the same ones from building agents that actually work : one job per workflow, boring well-tested steps, and explicit failure paths. Before committing weeks to any migration, run the numbers with an automation ROI framework .
Usually n8n. Zapier bills per task (every step of every run), and Make bills per operation at a lower rate; n8n bills per workflow execution regardless of step count, self-hostable with no per-run fee. Under roughly 2,000 runs a month the difference is noise; over roughly 10,000 runs — or with per-record data processing — n8n's model usually wins by a wide margin.
Zapier for a first automation — the largest app catalog and gentlest editor get a working connection the same afternoon. Make is the step up when a marketing or operations team needs branching, iteration, and data transformation without maintaining a server.
n8n moved fastest here: its AI-agent and model nodes treat prompts, tools, and memory as first-class parts of a workflow. Make and Zapier both support AI steps, but n8n currently offers the most control for multi-step agent behavior inside automations.
Yes — most companies do. A common pattern is Zapier for the long tail of small conveniences and n8n or Make for the heavy core pipelines. The platform matters less than the design discipline: one job per workflow, well-tested steps, explicit failure paths.
When the task bill becomes a line item someone questions — typically high run volumes, many-step workflows, or per-record processing — or when you need self-hosting for privacy or cost reasons. Run the numbers with an ROI framework before committing weeks to a migration.
This comparison reflects Custom AI Works' build, inheritance, and repair experience across client automations on Zapier, Make, and n8n, and the vendors' published pricing models as of September 2026. Plan tiers, task/operation/execution definitions, and prices change frequently; verify current terms on each vendor's pricing page before procurement. Volume thresholds are practice rules of thumb, not vendor benchmarks.
Usually n8n. Zapier bills per task (every step of every run), and Make bills per operation at a lower rate; n8n bills per workflow execution regardless of step count, self-hostable with no per-run fee. Under roughly 2,000 runs a month the difference is noise; over roughly 10,000 runs — or with per-record data processing — n8n's model usually wins by a wide margin.
Zapier for a first automation — the largest app catalog and gentlest editor get a working connection the same afternoon. Make is the step up when a marketing or operations team needs branching, iteration, and data transformation without maintaining a server.
n8n moved fastest here: its AI-agent and model nodes treat prompts, tools, and memory as first-class parts of a workflow. Make and Zapier both support AI steps, but n8n currently offers the most control for multi-step agent behavior inside automations.
Yes — most companies do. A common pattern is Zapier for the long tail of small conveniences and n8n or Make for the heavy core pipelines. The platform matters less than the design discipline: one job per workflow, well-tested steps, explicit failure paths.
When the task bill becomes a line item someone questions — typically high run volumes, many-step workflows, or per-record processing — or when you need self-hosting for privacy or cost reasons. Run the numbers with an ROI framework before committing weeks to a migration.
We map the highest-cost workflow first — the calls, forms, inboxes, CRMs, and handoffs involved — before anything is built.
A scoped build with approval gates and human-in-the-loop exception paths, around the tools you already use.
The workflow runs live with logs your team can inspect, so value is proven — not promised.
Docs, logs, and the code itself are yours. No lock-in, no renting your own system back.
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