The short answer
Make and n8n both support visual workflows, but hosting and ownership can change the decision more than the canvas. Make presents a managed automation environment. n8n offers hosted plans and a documented self-hosting path. Our recommendation is to decide who will maintain the system before comparing features. A lower subscription is not automatically a lower total cost when infrastructure, monitoring and support become your responsibility.
Compare the essentials
| What matters | Make | n8n |
|---|---|---|
| Workflow model | Visual scenarios and modules | Node-based workflows |
| Paid usage unit | Action credits | Workflow executions |
| Hosting decision | Evaluate the managed platform | Cloud or documented self-hosting |
| Technical extension | Check app modules and custom API needs | Code steps and custom API requests |
| Self-hosted edition | No self-hosted option evaluated here | Community, Business and Enterprise editions |
| Total cost | Credits and connected services | Executions, hosting and operational ownership |
Control has an operating cost
Self-hosting can be valuable when you have a concrete reason to control deployment, data location or access to internal systems. It also creates work: updates, backups, monitoring and recovery. Do not choose it merely because a community edition appears to remove a subscription line from the budget.
n8n documents both self-hosted and managed options, while Make emphasizes a unified visual environment. The sensible comparison is therefore between the actual deployment you will run, not between a hosted Make plan and an imaginary maintenance-free n8n server.
Hosting and extensibility are real differences
n8n offers a hosted service and documented self-hosted editions. Its pricing page lists JavaScript or Python code steps and custom API requests, while paid usage is measured in workflow executions. Make’s published scenario model uses credits for module actions. This creates a meaningful difference in both operation and cost modeling.
Self-hosting is useful only if controlling the deployment solves a requirement you actually have. Your team then owns updates, backups and availability. A managed service can be a better purchase when nobody wants that responsibility. For a complex workflow, compare the same sequence of actions and the cost of maintaining custom logic, rather than assuming that either billing model is automatically cheaper.
Price a representative execution
Make’s credit model and n8n’s execution model count different things. A workflow with many steps can behave differently under each billing system. External model calls, databases and other services may add their own costs regardless of which automation platform coordinates them.
Build the same small process in both candidates. Include a branch, a missing field and a retry. Record the observed usage and the time needed to understand the execution history. This gives you a practical cost estimate without assuming every workflow is charged in the same way.
Choose the owner, then the platform
If an operations specialist will maintain the automation, prioritize clear handover and predictable diagnosis. If developers will own it, inspect the available code, API and deployment options alongside your team’s existing practices. Technical capability is useful only when someone can support it.
Choose Make when its managed workflow suits the team’s responsibilities. Choose n8n when its control or deployment flexibility solves a specific requirement. Document credentials, dependencies and recovery steps before the workflow becomes business-critical, and keep a manual fallback for its most important outcome.
Sources & methodology
This article is an editorial analysis of official documentation, not an independent performance benchmark. Plan details and availability can change. Check the linked sources before purchasing.
