Make (Integromat) vs n8n
No-Code Automation
| M Make (Integromat) | N n8n | |
|---|---|---|
| Free tier | ✓ Free tier | ✓ Free tier |
| Pricing model | subscription | open_source+subscription |
| Price | $9 (Core) | $24 (Cloud Starter) |
| Features | ||
| Languages | — | — |
| API | ✓ Available Docs ↗ | ✓ Available Docs ↗ |
| Homepage | Make (Integromat) ↗ | n8n ↗ |
| Pricing Plans | Free$0/mo1,000 ops/mo, 2 active scenarios Core$9/mo10,000 ops/mo, unlimited scenarios Pro$16/mo10,000 ops/mo, custom variables, priority execution Teams$29/mo10,000 ops/mo, team collaboration features | Community (Self-hosted)FreeOpen-source, unlimited workflows on your own server Cloud Starter$24/mo2,500 workflow executions/mo, 5 active workflows Cloud Pro$60/mo10,000 executions/mo, 15 active workflows EnterpriseCustomUnlimited executions, SSO, audit logs |
| Platforms | ||
| Integrations | Gmail, Slack, Google Sheets, Airtable, Notion, HubSpot, Salesforce, Shopify, Webhooks, OpenAI | Slack, GitHub, PostgreSQL, MySQL, HTTP Request, OpenAI, Google Sheets, Airtable, Notion, HubSpot |
- Highly visual flowchart-style scenario builder
- Powerful data manipulation with built-in functions
- More affordable than Zapier at high operation volumes
- Supports complex branching, iteration, and error handling
- Steeper learning curve than Zapier for beginners
- Smaller app library than Zapier (1,500+ vs 7,000+)
- UI can feel overwhelming for simple use cases
- Fully open-source and self-hostable for data privacy
- JavaScript/Python code nodes for unlimited flexibility
- Generous free tier with self-hosted unlimited workflows
- Active community and growing integration library
- Requires technical knowledge to set up and maintain self-hosted instance
- Cloud plans are more limited than competitors at similar price points
- UI polish lags behind Zapier and Make
AI Commentary
Make has integrated AI capabilities including an AI assistant that helps users build scenarios via natural language prompts. Native OpenAI and Anthropic modules allow building sophisticated AI pipelines directly in the canvas. Make's flexible data structures and advanced routing make it especially well-suited for complex AI automation workflows. The platform positions itself as a powerful middle ground between no-code simplicity and developer-level flexibility.
n8n has embraced AI deeply with its AI Agent nodes, allowing users to build LLM-powered agents that can use tools and maintain memory within workflows. It ships with native integrations for OpenAI, Anthropic, Google AI, and Hugging Face. The self-hosted nature makes n8n particularly attractive for teams with strict data sovereignty requirements. Its combination of visual builder and code nodes makes it one of the most flexible AI automation platforms available.