Make.com vs n8n — 2026 Comparison Guide
Visual canvas vs open-source flexibility. When to pick Make.com's polished cloud platform vs n8n's self-hostable, code-friendly alternative — with honest pricing, ceiling, and migration math.
Make.com wins on out-of-the-box polish, visual scenario UX, and zero ops burden — pick it when you want a managed cloud platform with deep branching support. n8n wins on self-hosting, version control, custom code at any node, and cost at high volume — pick it when you have engineering capacity, compliance constraints, or want workflows in Git. Both are fundamentally more capable than Zapier; the choice between them is mostly about who operates the runtime.
Make.com
The polished visual cloud platform — canvas-based scenarios, fully managed, zero ops.
Best for
- Technical RevOps and ops engineers without dev capacity
- Teams that want a managed runtime
- Branchy multi-iteration workflows where the UX matters
- Companies that don't have data residency requirements
Strengths
- Visual scenario editor — cleanest 2D canvas on the market
- Iterators, aggregators, routers as first-class primitives
- Built-in Data Store with schema and querying
- Fully managed — zero infrastructure to operate
- Polished error-handling branches and recovery flows
Weaknesses
- Cannot self-host — data passes through Make infrastructure
- No version-control story — scenarios live in Make UI
- Custom code is awkward (HTTP module + JS Tools)
- Cloud-only pricing model — costs scale with operations
Pricing
$10–$200/month for typical workloads. Operation-based pricing — generally 3–5x cheaper than Zapier.
n8n
Open-source workflow automation — self-hostable, code-friendly, version-controllable.
Best for
- Engineering-led teams with ops capacity
- Compliance workloads (data residency required)
- High-volume automation past 50K runs/month
- Teams that want workflows in Git with code-review
Strengths
- Self-hostable in your VPC — full data control
- JavaScript or Python at any node — first-class custom code
- Workflow JSON in Git — proper version control
- Open-source (Apache-2.0) — no vendor lock-in
- ~5–10x cheaper than Make at high volume when self-hosted
Weaknesses
- Self-hosted: you operate it (patching, scaling, backups)
- Visual editor less polished than Make's canvas
- Smaller built-in connector library
- Steeper learning curve for non-technical builders
Pricing
Self-hosted: $20–$500/month infra cost. n8n Cloud: $24–$160/month. Cheaper than Make at every scale, particularly self-hosted.
Side-by-side comparison
Honest, criterion-by-criterion. No marketing fluff.
| Criterion | Make.com | n8n |
|---|---|---|
| Hosting model | Cloud-only (managed) | Self-hosted OR n8n Cloud |
| Open source | No | Yes (Apache-2.0) |
| Visual editor polish | Excellent — best-in-class canvas | Good — workflow editor is functional, less refined |
| Branching / routing | Routers + filters native | IF / Switch nodes — cleaner code, less visual |
| Iteration / batch processing | Iterator + Aggregator (purpose-built) | Loop Over Items (functional, less elegant) |
| Custom code at any node | HTTP module + JS Tools (awkward) | Function node — JS or Python first-class |
| Version control | No native VCS — scenarios live in Make UI | Workflow JSON in Git, code-reviewed via PR |
| Connector library | ~1,500 apps (popular SaaS covered) | ~400 built-in + custom nodes for anything |
| Data residency | Make infrastructure (US/EU) | Your VPC, your country, your control |
| SOC 2 / HIPAA | Possible via Enterprise plan | Supported when self-hosted in compliant infra |
| Cost at 10K runs/month | ~$30/month | ~$60 cloud / ~$25 self-hosted infra |
| Cost at 100K runs/month | ~$200/month | ~$160 cloud / ~$50 self-hosted infra |
| Cost at 1M runs/month | ~$1,000+/month | ~$500 cloud / ~$200 self-hosted infra |
| Operational burden | Zero — fully managed | Self-hosted: low-moderate; Cloud: zero |
| Learning curve (technical user) | ~2 hours for visual canvas mastery | ~3 hours for workflow + code patterns |
| Lock-in risk | Moderate — proprietary scenario format | Low — open-source, JSON workflows are portable |
How to decide
Three questions get most teams to a clear answer.
1Does data need to stay inside your VPC for compliance?
→ Choose n8n. Self-hosted n8n is the only mainstream option that gives you full data residency. Make is cloud-only.
2Does your team have engineering capacity AND value version-controlled workflows?
→ Choose n8n. n8n's JSON-in-Git story plus first-class custom code makes it the better fit for engineering-led ops.
3Do you want zero infrastructure burden and the polished visual canvas matters?
→ Choose Make.com. Make.com is fully managed and has the best visual scenario UX. The trade-off is no self-hosting and weaker code support.
Frequently asked
Which is more popular: Make or n8n?
Make.com has the larger user base — primarily because it's been around longer (formerly Integromat, since 2012) and has invested heavily in the visual canvas UX. n8n is growing faster, especially among engineering-led teams who value the open-source model and self-hosting. By 2026, both have mature ecosystems and active communities.
Should I migrate from Make to n8n?
Three triggers: (1) you need data residency (compliance, customer trust), (2) you cross 100K operations/month and self-hosted n8n becomes meaningfully cheaper, or (3) your team wants workflows in version control. Otherwise, Make's polish and zero-ops burden often outweighs the migration cost. Most migrations land at $5,000–$15,000 with payback in 3–8 months.
Can n8n really match Make's visual canvas?
For 80% of workflows, yes — n8n's editor is functional and gets the job done. Make wins for branchy multi-iteration scenarios where the canvas layout matters for maintainability. For workflows with heavy custom code, n8n's Function nodes are actually cleaner than Make's HTTP+Tools combination. The right answer depends on the workflow shape.
Is self-hosted n8n hard to operate?
Moderate. A small deployment (Docker + Postgres on a single VM) runs reliably with 1–2 hours of ops time per month. Production-grade Kubernetes deployments with redundancy need an engineer who has run stateful workloads. n8n Cloud removes the operational burden entirely if you want managed-but-not-Make.
How do I evaluate which is right for my team?
A 1–2 hour scoping call with a workflow specialist on REWORK can quantify the cost difference, evaluate your operational appetite, and map your most complex workflow to both platforms. Most teams reach a confident answer in under 90 minutes.
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