🔁 Workflow Automation
Make vs n8n: Which Should You Choose?
Both are workflow automation agents, but they are built for different people. Here is the honest split.
Make
by Make (Celonis)
A visual automation canvas with AI agents, priced per operation rather than per task.
n8n
by n8n GmbH
A source-available workflow automation platform with AI agent nodes you can self-host and own outright.
Side by side
Make vs n8n at a glance
| 🧩 Make | 🔗 n8n | |
|---|---|---|
| Editor score | 4.1★★★★★ | 4.5★★★★★ |
| Vendor | Make (Celonis) | n8n GmbH |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Deployment | Cloud | Self-hosted, Cloud, On-prem, API |
| Starting price | Free tier | Free tier |
| Pricing model | Subscription tiers priced in credits (formerly 'operations') | Free self-hosted (fair-code); cloud priced per workflow execution |
| Free tier | Yes — 1,000 credits per month | Yes — unlimited self-hosted community edition |
| Integrations | 12 native | 11 native |
| Best for | Ops teams wanting more power than Zapier | Technical ops and automation engineers |
Decision
Which one should you pick?
Choose Make if…
- Ops teams wanting more power than Zapier. The sweet spot. Branching and iteration without needing to run infrastructure.
- Teams with multi-step, high-volume workflows. Per-operation billing usually beats per-task pricing once workflows have real depth.
- Visual thinkers. The canvas makes complex logic legible in a way linear builders never manage.
Skip it if: Operation accounting is unintuitive is a dealbreaker for you.
Choose n8n if…
- Technical ops and automation engineers. The ideal user. Comfortable with APIs, JSON and a bit of JavaScript, and rewarded with almost unlimited flexibility.
- Teams with data residency requirements. Self-hosting means customer data never leaves your infrastructure except for model calls — and you can point those at a local model too.
- High-volume automation on a budget. Self-hosted execution is effectively free at the margin, which beats every per-task competitor at scale.
Skip it if: Steeper learning curve than no-code competitors is a dealbreaker for you.
Trade-offs
Strengths and weaknesses
Make
- Best visual model for complex branching logic
- Per-operation pricing suits multi-step workflows
- Strong error handling
- Operation accounting is unintuitive
- Big scenarios get visually messy
- Agent layer less mature than the automation core
n8n
- Genuinely free at unlimited volume if you self-host
- Enormous integration library
- Mix deterministic steps with agent decision points
- Steeper learning curve than no-code competitors
- Self-hosting is real operational work
- Cloud pricing is less compelling than the free tier suggests
FAQ
Make vs n8n FAQ
Is Make better than n8n?
On our scoring n8n edges it at 4.5/5 against 4.1/5, but the gap is smaller than the difference in who they suit. Make is the better choice for ops teams wanting more power than zapier; n8n is stronger for technical ops and automation engineers.
Which is cheaper, Make or n8n?
Make: Free tier — subscription tiers priced in credits (formerly 'operations'). n8n: Free tier — free self-hosted (fair-code); cloud priced per workflow execution. Compare the pricing models rather than the headline numbers; consumption-based plans can overtake a higher flat fee quickly once usage is real.
Can I use Make and n8n together?
Yes, and plenty of teams do. They share 7 integrations, so both can sit on the same data without duplicated plumbing. The usual pattern is to run each on the work it is strongest at rather than forcing one to cover everything.
What are the main differences between Make and n8n?
Three things matter most. Autonomy: Make is semi-autonomous while n8n is semi-autonomous. Deployment: Make runs cloud, n8n runs self-hosted/cloud/on-prem/api. Pricing model: subscription tiers priced in credits (formerly 'operations') versus free self-hosted (fair-code); cloud priced per workflow execution.