ooligo

n8n vs Make

pairwise Last updated 2026-05-02

Compare side-by-side

n8n Make
Pricing $24/mo freemium $9/mo freemium
Score
9
8
AI-native Yes Yes
MCP Yes No
API Yes Yes
Integrations hubspot salesforce slack gmail openai anthropic postgres supabase slack hubspot salesforce notion google-sheets airtable

n8n vs Make is the close head-to-head in mid-tier workflow automation, and the choice is more taste than category. n8n is open-source, developer-leaning, and increasingly AI-native with native LangChain nodes. Make (formerly Integromat) is visual-first, polished, and great at complex branching scenarios. Both are dramatically cheaper than Zapier at volume. Picking between them is mostly about how technical your ops team is.

Where n8n wins

  • Open source and self-hostable. n8n’s code is on GitHub and you can run it on your own infra. Make is closed and cloud-only. For compliance-heavy teams, this matters.
  • Code nodes and developer flexibility. Native JavaScript and Python nodes, custom HTTP requests, and a flexible workflow primitive that bends to weird requirements.
  • AI and LLM integrations. n8n shipped LangChain-style nodes early and has been pushing AI workflows aggressively. Make has AI features but less depth.

Where Make wins

  • Visual workflow builder. Make’s scenario editor is genuinely more polished than n8n’s canvas. For complex branching with iterators and aggregators, Make is a better visual experience.
  • Operations module maturity. Routers, iterators, aggregators, and error handlers in Make are battle-tested in ways n8n is still maturing on.
  • Pricing for low-medium volume. Make’s operations-based pricing can be cheaper than n8n Cloud for medium-volume workflows that don’t warrant self-hosting.

When to use both / Pricing reality

You generally don’t run both — they’re substitutes. Pricing: n8n Cloud Starter is 24 USD per month with 2,500 executions; Pro is 60 USD with 10K. Self-hosted is free. Make Core is 10.59 USD per month with 10K operations. Both are 5x to 50x cheaper than Zapier at scale.

Verdict

  • Pick n8n if you have a developer in the loop, you want self-hosting, or you’re building AI-native workflows.
  • Pick Make if your team is visual-first, your workflows are complex but no-code, and you don’t need self-hosting.
  • Use both rarely — pick one and standardize.

The single mistake to avoid: picking based on a single complex scenario you’ve prototyped. The right tool is the one your ops team will operate for two years, not the one that wins one demo.