Make.com vs Zapier vs n8n: Which Automation Platform Wins in 2026?
We ship automations on all three platforms. We have no preference — we use whichever one fits the problem. Below is the honest comparison, including the cases where each one is the wrong choice.
Zapier
- Best for: simple linear flows, fast prototyping, teams that won't have engineering support.
- Pricing: ~$30/month entry, scales by task volume. Above ~10,000 tasks/month, becomes the most expensive option.
- Learning curve: 2-3 hours to be productive.
- Where it loses: branching logic, high volume, anything requiring custom code in the middle of the flow.
Make.com
- Best for: branching logic, visual debugging, mid-volume workflows that Zapier can't handle cleanly.
- Pricing: ~$10–$30/month for most SMB use cases. Cheaper per operation than Zapier at scale.
- Learning curve: 5-10 hours to be productive — steeper than Zapier.
- Where it loses: when you need full control of infrastructure or have compliance reasons not to send data through a third party.
n8n
- Best for: self-hosted scenarios, compliance-sensitive data, scale where per-task pricing matters, teams with engineering capacity.
- Pricing: free if self-hosted (you pay for the server). Paid cloud tier for managed hosting.
- Learning curve: similar to Make.com, plus the operational burden of running the server.
- Where it loses: when you don't have engineering capacity to operate the server.
Decision matrix
- Under 5,000 tasks/month, simple flows, no engineer → Zapier.
- Branching logic, mid volume, ops person willing to learn → Make.com.
- Compliance / scale / engineering capacity → n8n self-hosted.
What about GoHighLevel?
GHL isn't a Zapier competitor — it's a CRM-plus-automation bundle. If you don't have a CRM and you run a service business, GHL is often the right answer instead of stitching Zapier to a separate CRM.
What about custom code?
Custom Node.js on AWS Lambda or Cloudflare Workers wins when no off-the-shelf integration exists, the logic is too complex for visual tools, or per-task pricing is destroying your margins. Lives forever, costs almost nothing to run, requires an engineer to maintain.
There is no universal winner. There's a right tool for your task volume, your budget, and your engineering capacity. Anyone who tells you 'we always use X' is selling, not advising.
