“n8n or Make?” – I hear this question weekly. The answer is not trivial because both platforms have different strengths and the choice depends on your specific requirements.
This comparison analyzes both platforms along technical criteria: data sovereignty, cost structure at different volumes, scalability, and typical application scenarios.
Architecture Comparison
| Criterion | n8n | Make |
|---|---|---|
| Deployment | Self-hosted or cloud | Cloud only |
| License Model | Open Source (Fair-Code) | Proprietary |
| Pricing Model | Per workflow | Per operation |
| Data Storage | Selectable (local/cloud) | AWS infrastructure |
n8n: Strengths and Limitations
n8n is an open-source platform that you can run on your own infrastructure. For a comprehensive platform analysis, see our article n8n 2026: Why the Berlin Startup Became the Leading Workflow Platform. This architecture offers specific advantages:
Advantages:
| Aspect | Impact |
|---|---|
| Data Sovereignty | Complete control over data flows and storage location |
| Cost Predictability | Fixed costs per workflow, regardless of execution frequency |
| Extensibility | JavaScript/Python integration, custom nodes possible |
Limitations:
Self-hosting means responsibility for updates, backups, monitoring, and security. Without DevOps capacity, operations become a burden. The learning curve is steeper than Make, documentation less comprehensive.
The cloud version of n8n simplifies operations, but you lose the main advantage: complete data control.
Make: Strengths and Limitations
Make (formerly Integromat) is a cloud platform focused on user-friendliness.
Advantages:
| Aspect | Impact |
|---|---|
| Usability | Intuitive interface, low onboarding time |
| Integration | 1,500+ native connectors |
| Operational Effort | No infrastructure management required |
Limitations:
The operation-based pricing model can become expensive at high volume. An operation is every single action: read email, create record, execute API call.
Cost example:
A workflow for order processing:
- Fetch order (1 op)
- Update CRM (1 op)
- Create invoice (1 op)
- Send email (1 op)
- Slack notification (1 op)
At 200 orders daily: 1,000 operations per day, 30,000 per month. That quickly exceeds cheaper plan quotas.
Decision Matrix
| Requirement | Recommendation |
|---|---|
| Privacy critical (health, finance) | n8n (self-hosted) |
| High execution frequency (> 1,000/day) | n8n |
| No technical team available | Make |
| Quick proof of concept needed | Make |
| Extensive custom logic required | n8n |
| Many different SaaS integrations | Make |
Hybrid Strategy
In practice, combined usage has proven effective:
| Platform | Use Case |
|---|---|
| Make | Prototypes, proof of concepts, workflows maintained by business users |
| n8n | Production-critical processes, high volumes, sensitive data |
The approach: Validate quickly with Make, migrate to n8n upon success and relevance. A Make prototype is created in two hours. If it works and becomes strategically important, migration is worthwhile. If not, you’ve invested two hours instead of two weeks. This approach also reflects the insights from AI implementation projects: Start small, validate, then scale.
Cost Comparison
n8n Cloud
| Plan | Price | Scope |
|---|---|---|
| Starter | ~€20/month | Limited workflows |
| Pro | ~€50/month | 50 active workflows |
| Self-hosted | €0 (software) | + server costs + labor |
Make
| Plan | Price | Scope |
|---|---|---|
| Free | €0 | 1,000 ops/month |
| Core | from €9 | 10,000 ops |
| Pro | from €16 | Extended features |
| Teams | from €29/user | Team features |
Bottom line on costs: At low volume, Make is cheaper. From approximately 50,000 operations per month, n8n (cloud or self-hosted) becomes more economical.
Technical Assessment
| Criterion | n8n | Make |
|---|---|---|
| Onboarding Time | Medium–High | Low |
| Debugging Capabilities | Comprehensive | Basic |
| Error Handling | Granularly configurable | Standardized |
| API Documentation | Good | Very good |
| Community Support | Active, technically oriented | Active, application-oriented |
Conclusion
Both platforms solve the same problem – with different trade-offs. The decision depends not on the tools, but on your requirements:
Choose n8n if:
- Data sovereignty is non-negotiable
- Technical resources for operations are available
- High execution volumes are expected
Choose Make if:
- Quick start is more important than complete control
- Business users should maintain workflows themselves
- Integration of many different SaaS services is the priority
Unsure which platform suits your requirements? In a free consultation, we analyze your use cases and provide a concrete recommendation.