n8n vs Zapier vs Make: Which Automation Tool in 2026?
An objective comparison across pricing, self-hosting, features, and AI capabilities.
At a Glance
Updated 102 days agon8n wins on cost and flexibility for technical teams; Zapier is easiest for non-technical users; Make offers the best visual builder for mid-complexity workflows.
Why This Comparison Matters
Choosing the wrong automation tool can cost thousands in subscription fees or weeks of migration effort. This guide helps you decide based on your team's specific needs.
Head-to-Head Comparison
| Criteria | n8n | Zapier | Make |
|---|---|---|---|
| Pricing (monthly) | Free self-host / $20+ cloud | $19.99+ | $9+ |
| Self-hosting | Yes (Docker, K8s) | No | No |
| Open-source | Yes (fair-code) | No | No |
| Integrations | 400+ | 6,000+ | 1,500+ |
| AI/LLM nodes | Native OpenAI, Anthropic | AI actions (beta) | OpenAI module |
| Code execution | JS & Python in-workflow | Limited | Limited |
| Learning curve | Medium | Low | Medium |
| Error handling | Advanced (retry, fallback) | Basic | Good |
When to Choose n8n
- You want to self-host for data sovereignty or compliance
- Your team is technical and comfortable with JSON
- You need AI-native workflows with custom prompts
- Budget is tight — the self-hosted version is free forever
When to Choose Zapier
- Your team is non-technical (marketing, sales ops)
- You need access to 6,000+ integrations out of the box
- Simple, linear workflows (A → B → C) are sufficient
- You value ecosystem and templates over customisation
When to Choose Make
- You build complex branching workflows with many paths
- You appreciate a visual drag-and-drop builder
- Mid-range budget with predictable usage
- You need good data transformation tools built in
Cost Analysis: 10,000 Operations/Month
n8n (self-host): $0 (just server cost ~$5-10/mo)
n8n (cloud): $20/mo
Make: $16/mo (10,000 ops plan)
Zapier: $69/mo (750 tasks plan — you'll need more)
Our Recommendation
For startups and technical teams building AI-powered automation, in 2026. See our to get started.
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