n8n vs Make.com: Which Automation Tool is Right for Your Business?
n8n vs Make.com: Which Automation Tool is Right for Your Business?
You've narrowed it down to two tools: n8n and Make.com. Both connect your apps. Both automate workflows. But they are built for very different users.
I've built workflows in both. I've paid for both. Here is the honest comparison.
Quick Answer
- Choose n8n if you're technical, want self-hosting, or need AI agents
- Choose Make if you want visual building, more integrations, or no-code setup
What is n8n?
n8n is a workflow automation platform built for developers and technical teams. You can self-host it on your own server or use their cloud version.
What makes n8n different: you can write custom code, connect any API, and build AI agents using LangChain and multiple LLMs.
Key Features of n8n
- Self-hosted option for full data control
- 400+ native integrations, plus HTTP Request for anything else
- Native AI Agent node and LangChain support
- Custom code in JavaScript and Python
- Fair-code license, free for internal business use
What is Make.com?
Make.com (formerly Integromat) is a visual automation platform built for non-technical users. It's cloud-only, with a drag-and-drop scenario builder.
What makes Make different: the visual builder is easier to learn, and it connects to 3,000+ apps out of the box.
Key Features of Make.com
- 3,000+ app integrations
- Visual drag-and-drop builder
- AI modules for OpenAI and Anthropic
- Cloud-only, no server maintenance
- Free tier with 1,000 operations/month
Pricing: The Real Difference
This is where things get interesting.
n8n bills per execution. One workflow run equals one unit, no matter how many steps it has.
Make.com bills per operation. Every module in your scenario counts as one operation.
Here's what that means in practice:
| Monthly Volume | n8n (self-hosted) | Make.com |
|---|---|---|
| ~2,000 operations | ~$10 (VPS) | $9 (Core) |
| ~10,000 operations | ~$10 (VPS) | $9-16 |
| ~50,000 operations | ~$10-20 (VPS) | $29-80+ |
| ~200,000 operations | ~$20 (VPS) | $300-500+ |
Real example: A 5-step workflow running 2,000 times per month costs:
- n8n self-hosted: around $5-10 (server only)
- Make.com: around $9 (10,000 operations)
- Zapier: around $69-100
At scale, n8n self-hosted wins by a wide margin.
AI Features: n8n Leads
Both tools now have AI capabilities, but they work differently.
n8n:
- Native AI Agent node with tool use and memory
- LangChain support for advanced AI chains
- Multi-agent orchestration
- Connect any LLM: GPT-4, Claude, Llama, local models
Make.com:
- AI modules for OpenAI and Anthropic
- Agent builder (in beta)
- More manual wiring required
Verdict: For serious AI automation, n8n wins. For simple AI tasks, Make works.
Ease of Use: Make Wins
Make is easier. The visual drag-and-drop builder is designed for non-technical users.
n8n has a learning curve. It expects you to understand expressions, data mapping, and sometimes JavaScript.
If you're not technical, Make will be less frustrating.
If you're a developer, n8n gives you more power.
Integrations: Make Has More
Make connects 3,000+ apps. n8n has roughly 400-1,500 native integrations.
But here's the catch: n8n's HTTP Request node connects to anything. If an app isn't in their list, you can call its API directly.
For developers, this isn't a limitation. For non-technical users, Make's larger catalog is easier.
Self-Hosting: n8n's Biggest Advantage
This is the biggest difference.
n8n can be self-hosted for free. You run it on your own server (a $5-20/month VPS works fine).
Make is cloud-only. You always pay per operation.
For data privacy, compliance, or high-volume workflows, self-hosting matters. You control the data. You control the costs.
For small teams without DevOps capacity, Make's cloud model is simpler.
A Real Example From My Work
Last year, I built a customer onboarding workflow for a SaaS client. It used n8n.
The workflow:
- Received new customer data from a form
- Generated a personalized welcome email with GPT-4
- Created a CRM record
- Scheduled the kickoff call
- Notified the team on Slack
It ran 2,000 times per month.
On Make.com, that would cost around $50-100 per month in operations.
On n8n self-hosted, the server cost $8 per month. The AI API calls cost another $6.
Total: $14 per month.
That's the difference.
When to Choose n8n
Choose n8n if you:
- Are technical (or have a developer)
- Want self-hosting for data control
- Run high-volume workflows
- Need AI agents and custom LLMs
- Want to avoid per-operation costs
When to Choose Make.com
Choose Make if you:
- Are non-technical
- Want visual, no-code building
- Need specific app integrations
- Prefer cloud (no server maintenance)
- Run moderate volume
The Bottom Line
n8n is for developers who want power, control, and low costs at scale.
Make.com is for teams who want visual building, easy setup, and don't mind paying per operation.
There's no universal winner. It depends on your team, your volume, and what you're building.
Need Help Choosing?
We build custom automation workflows for businesses. If you're stuck between n8n and Make, send me a message. I'll give you a straight answer.
Get a free consultation at /contact/
Official Documentation
- n8n Documentation: https://docs.n8n.io/
- Make.com Documentation: https://www.make.com/en/help
- n8n Community Forum: https://community.n8n.io/
Frequently Asked Questions
Is n8n better than Make.com?
It depends. n8n is better for developers, self-hosting, and AI agents. Make is better for non-technical users and visual building. Both are powerful.
Which is cheaper, n8n or Make.com?
n8n self-hosted is cheaper at scale. Make is cheaper for moderate volume. A 10,000 operation workflow costs ~$9 on Make, ~$5-10 on n8n self-hosted.
Can I use n8n without coding?
Basic workflows are possible without coding. But for complex logic, custom APIs, or AI agents, you'll need some JavaScript or Python knowledge.
oes Make.com support self-hosting?
No. Make is cloud-only. n8n is the only tool of the two that supports self-hosting.
Which tool is better for AI automation?
n8n is better for AI. It has native AI Agent nodes, LangChain support, and multi-agent orchestration. Make's AI features are more limited.
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