Short answer: Zapier is the easiest and best for simple, low-volume automations; Make offers more power per dollar at mid-scale; n8n wins decisively on cost at volume, data control, and AI workflows — if you have the technical skill (or a partner) to run it. We build client automations on all three at Aenfinite, and we run n8n in our own production stack, so this comparison comes from operating them — not from affiliate links.
The comparison at a glance
| Zapier | Make | n8n | |
|---|---|---|---|
| Pricing model | Per task | Per operation | Per execution (cloud) or flat server cost (self-hosted) |
| Typical cost at 50k tasks/mo | $1,000s | $100s | $20–$80 server (self-hosted) |
| Integrations | 7,000+ (most) | 2,000+ | 500+ native, unlimited via HTTP/code |
| Self-hosting / data control | No | No | Yes — the differentiator |
| Custom code in flows | Limited | Limited | Full JavaScript/Python anywhere |
| AI/LLM workflows | Basic steps | Good | Best-in-class (agents, RAG, model routing) |
| Learning curve | Easiest | Moderate | Steepest — it's a developer tool |
When Zapier is the right choice
Under roughly 2,000 tasks a month, with simple two-or-three-step flows between mainstream apps, Zapier is genuinely hard to beat: fastest setup, the biggest app directory, and non-technical staff can maintain it. The failure mode is success — volume grows, flows multiply, and the per-task bill quietly climbs into four figures. That's the point where most of our Zapier-to-n8n migration clients call us.
When Make fits
Make's visual scenario builder handles branching, iteration and data transformation far better than Zapier at a fraction of the cost. It's the right middle step for operations-heavy teams that aren't ready to self-host. Its weaknesses: debugging complex scenarios gets painful, and there's no self-hosted option — your data always transits Make's cloud, which matters for legal, healthcare and finance clients.
When n8n wins
Volume economics. Self-hosted n8n on a $40/month server processes what would cost thousands monthly in per-task fees. The trade is that someone must deploy it properly — SSL, backups, queue mode, monitoring, upgrades.
Data control. Client data, credentials and payloads stay on your infrastructure. For regulated industries this isn't a preference, it's a requirement.
AI workflows. n8n has become the default open-source orchestrator for LLM work in 2026 — agents with tool use, RAG over your documents, model routing for cost control, human-approval gates. We build these patterns for clients weekly (and this blog's own publishing pipeline runs on n8n).
Code when you need it. Real JavaScript or Python nodes mean there's no wall you hit where the platform can't express your logic.
The honest decision framework
Ask three questions: (1) How many tasks a month within a year — under 2k, Zapier is fine; over 10k, n8n's economics dominate. (2) Does data sensitivity require self-hosting — if yes, n8n is the only option here. (3) Who maintains it — no technical owner and no partner means staying on managed cloud tools, or hiring an agency to run n8n for you (our managed n8n plans start at $350/month, published on the n8n services page).
FAQ
Is n8n really free?
The self-hosted community edition is free to run; you pay for the server and the expertise. n8n Cloud (managed by n8n) starts around $20–$50/month and removes the infrastructure work at lower volumes.
How hard is a Zapier to n8n migration?
A typical 20–50-Zap migration takes 2–6 weeks done properly: audit, rebuild with better error handling, parallel running to verify identical output, then cutover. Most clients cut automation platform spend 70–90%.
Can n8n replace Zapier completely?
For 95% of real-world flows, yes — anything with an API is reachable via n8n's HTTP node even without a native integration. The rare exceptions are niche apps whose only integration is a Zapier-exclusive connector.
Deciding for your own stack? Talk to our automation team — we'll recommend the platform that fits your volume and budget, even when the answer is "stay on Zapier."
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