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n8n vs Make

n8n vs Make: Which Automation Platform Wins in 2026?

n8n vs Make (formerly Integromat) compared for cost, flexibility, and data sovereignty. Which is better for self-hosted automation at scale?

Updated 2026 · 7 criteria compared · Winner: n8n
🏆 Our Verdict

n8n wins for Sovereign Architects: zero execution costs when self-hosted, full data sovereignty, and native AI nodes. Make wins for speed-to-market with zero infra overhead.

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Feature-by-Feature Comparison

Feature n8n👑 Make
Entry Level Free (Self-hosted) $9/month
Executions Unlimited Ops-based limits
Data Privacy High (Local-first) Standard (Cloud)
Visual Builder Good Best-in-class canvas
App Library 500+ nodes 1,000+ apps
Self-hosting Full support Not available
Native AI nodes Yes (LangChain + OpenAI) Via integrations only
Entry Level
n8n 👑 Free (Self-hosted)
Make $9/month
Executions
n8n 👑 Unlimited
Make Ops-based limits
Data Privacy
n8n 👑 High (Local-first)
Make Standard (Cloud)
Visual Builder
n8n 👑 Good
Make Best-in-class canvas
App Library
n8n 👑 500+ nodes
Make 1,000+ apps
Self-hosting
n8n 👑 Full support
Make Not available
Native AI nodes
n8n 👑 Yes (LangChain + OpenAI)
Make Via integrations only

n8n

Pros

  • Zero execution costs on self-hosting
  • Powerful native AI nodes
  • Full data sovereignty

Cons

  • Steeper learning curve
  • Requires server management

Make

Pros

  • Best-in-class visual builder
  • Huge library of 1,000+ apps
  • Zero maintenance required

Cons

  • Scalability gets expensive fast
  • Rigid ops-based pricing

Technical Verdict

If you are a Sovereign Architect looking for scale without variable costs, n8n is the winner. If you prioritize speed-to-market and zero infrastructure overhead, Make is your best bet.

Our pick: n8nn8n wins for Sovereign Architects: zero execution costs when self-hosted, full data sovereignty, and native AI nodes. Make wins for speed-to-market with zero infra overhead.

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Frequently Asked Questions

Q1 Is n8n better than Make in 2026?

n8n is the stronger choice for most teams in 2026 based on pricing model, self-hosting capability, and AI feature depth. Make remains a solid alternative for teams prioritizing specific ecosystem integrations or vendor relationships already in place.

Q2 What is the main difference between n8n and Make?

The core differences lie in architecture, pricing, and AI capabilities. n8n and Make target similar automation-platforms workflows but diverge on deployment model, data ownership, and integration depth. Our feature-by-feature comparison above details every criterion that matters for a buying decision.

Q3 Can Make replace n8n for automation-platforms workflows?

Make can cover many automation-platforms use cases but lacks the specific strengths that make n8n the recommended choice — particularly because n8n wins for sovereign architects: zero execution costs when self-hosted, full data sovereignty, and native ai nodes. Evaluate both against your team's exact requirements before committing.

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