n8n vs Make.com
n8n and Make.com (formerly Integromat) are the two credible workflow tools for AI-augmented automation in 2026. They look similar from the outside — visual node-based builders with 500+ integrations and native LLM steps — but the production economics, the operational ceiling, and the failure modes are different enough that picking the wrong one is a 6-month tax. Here's the framework we use to choose.
n8n wins for scale, self-hosting, and complex custom logic. Make wins for speed-to-first-workflow and businesses under ~50k task runs per month.
How they compare.
| Axis | n8n | Make.com |
|---|---|---|
| Time to first working workflow | Half day to a day (steeper builder) | 1-2 hours (cleanest visual builder)✓ winner |
| Self-hosting / data residency | First-class. Run on your infra, full control.✓ winner | Cloud only. EU/US data centers, no self-host. |
| Custom code escape hatch | Code nodes (JS/Python) native. Real engineering scales here.✓ winner | Limited code nodes. Heavy logic gets awkward. |
| Cost at scale | Self-hosted: near-zero variable cost. Cloud: predictable per-execution.✓ winner | Operations-based pricing scales with volume. Painful past 50k/mo. |
| Native AI / LLM steps | Strong. First-class Anthropic, OpenAI, custom HTTP. Tool-use orchestration.✓ winner | Strong. Built-in OpenAI/Claude modules, less flexible orchestration. |
| Observability & debugging | Execution log per workflow, custom logging via code nodes. | Cleaner UI for execution traces. Easier for non-engineers.✓ winner |
| Team accessibility (non-engineers) | Builder is more complex. Some training overhead. | Approachable for ops/marketing. Lower training curve.✓ winner |
Pick n8n when
- →You'll exceed 50,000 task runs per month
- →You need data residency (healthcare, finance, EU GDPR scope)
- →You have engineers who'll write code nodes for nuanced logic
- →You want to self-host for cost control or compliance
- →You're building agentic workflows with custom tool orchestration
Pick Make.com when
- →You're under 50k runs/month and want to be shipped this week
- →Your team is ops/marketing-led, not engineering-led
- →You want a visual builder that non-technical teammates can update
- →You don't need self-hosting or data residency
- →You value clean execution traces and one-click debugging more than code flexibility
n8n's open-source roots show up in the build experience: more powerful, more flexible, slightly higher learning curve, and dramatically better economics at scale because you can self-host. We default to n8n for any engagement above ~50,000 task executions per month, or any engagement where data residency requirements (HIPAA, GDPR, regulated industries) need self-hosted control. The code-node escape hatch matters more than most teams realize — once you're building real agentic workflows with custom tool orchestration, you'll hit cases where the visual builder isn't expressive enough, and being able to drop into JavaScript or Python without leaving the workflow is what keeps the project shippable.
Make wins on speed to a working pilot. The visual builder is genuinely cleaner — the same workflow takes ~40% less time to build in Make than in n8n in our experience. The execution traces are easier to read; the integrations are slightly better-polished; the platform handles versioning and rollback in a more product-y way. For businesses under 50k operations per month with non-engineering ops teams, Make is usually the right answer.
The economics flip past ~50k operations/month. Make's per-operation pricing scales linearly; n8n self-hosted scales with infrastructure cost (typically flat). A workflow doing 200k operations/month on Make.com Teams plan costs roughly 5-10× what the equivalent self-hosted n8n setup costs.
A practical hybrid we've used: start on Make for the first few workflows to get the team building, then migrate the production-critical, high-volume workflows to n8n once you've hit the scale where it pencils. This avoids over-investing in n8n's learning curve before you know which workflows will actually pay back.
- Is n8n actually free if I self-host?
- Yes, the community edition is MIT-licensed and free for self-hosting. You pay for the infrastructure (a small VPS or container runs n8n fine for most teams — $20-50/month covers up to 100k+ executions). The Enterprise edition has additional features (SSO, audit logs, advanced versioning) and a paid license. Most teams under 50 users start with community.
- Does Make support custom code at all?
- Make supports custom JavaScript via the 'Tools' module and limited inline functions. It's enough for parsing, simple transforms, and stitching APIs together. It's not enough for complex multi-step logic, async patterns, or anything resembling a real algorithm. For that, n8n's code nodes are dramatically more capable.
- Can both tools handle AI / LLM steps natively in 2026?
- Yes. Both have native integrations for Anthropic Claude, OpenAI, and major LLM providers. Make's modules are more curated and consistent; n8n's are more flexible and include lower-level HTTP request flexibility for custom providers. For most AI workflows, either tool works — the choice is about everything else (cost, scale, code escape hatch), not the LLM integration.
- Which is better for teams that want non-engineers to build workflows?
- Make, hands down. The visual builder is more approachable, the execution traces are easier to read, and the team-collaboration features are more polished. Ops, marketing, and sales teams pick up Make in days; n8n usually takes weeks. If accessibility for non-engineers is a priority, Make is the default.
- We're already on Zapier — should we move to one of these?
- Probably, if you're spending over ~$500/month on Zapier or hitting limits on multi-step workflows. Make is usually 50-70% cheaper at the same task volume; n8n self-hosted is dramatically cheaper. The migration friction is real (rebuilding workflows from scratch), so weigh it against the monthly savings × 12 months.
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