Every week someone asks us: “Should I use n8n or Make?” The honest answer is: it depends. But most comparison articles stop there and leave you no closer to a decision.
Here’s how we actually think about it when scoping a project.
The Short Version
Use Make if:
- Your team is non-technical
- You need to move fast with a visual interface
- The workflow is moderate complexity (under 20 steps)
- Budget is a concern at low volume
Use n8n if:
- You have a developer on the team
- You need self-hosting for data privacy (GDPR, regulated industries)
- Workflows are complex with custom logic
- You’re running high volume and want predictable costs
What Actually Matters
Ease of Use
Make wins here. The canvas-based interface is intuitive — most people can build a working scenario in their first session. n8n looks simpler on the surface but gets technical quickly once you hit variables and expressions.
Pricing at Scale
n8n charges per workflow execution regardless of complexity. Make charges per operation (each step counts). For complex, multi-step workflows running thousands of times — n8n is significantly cheaper. For simple, low-volume automations — the difference is minimal.
AI and Custom Logic
n8n has native LangChain integration, supports self-hosted LLMs, and gives you full control over AI pipelines. Make has AI capabilities but they’re more limited. If you’re building AI-powered workflows — n8n is the stronger choice.
Data Privacy
n8n can be fully self-hosted — your data never leaves your infrastructure. This matters for healthcare, finance, and any business with strict data residency requirements. Make is cloud-only.
Our Approach
We don’t lock clients into one tool. We choose based on the specific requirements: team technical level, data sensitivity, workflow complexity, and budget. Sometimes we use both — Make for simple integrations, n8n for complex pipelines.
The best automation stack is the one your team can actually maintain.
Want to talk through which tool fits your situation? Get in touch.