Make vs n8n
Choose between operating models, not marketing checklists.
Make
Choose Make when the team needs visual control over non-trivial workflows.
- Visual data flow
- Strong branching and transformation tools
- Official 35% affiliate commission for 12 months
n8n
Choose n8n when control and extensibility justify technical ownership.
- Cloud and self-hosted paths
- Code-friendly workflow model
- Official 30% revenue share for 12 months
Quick decision
Teams that want visible branching, transformations, and detailed scenario control.
Technical teams that value code steps, deployment choice, and workflow control.
Control and maintenance
Make emphasizes visual scenario builder, while n8n emphasizes technical workflow automation. Validate branching, payload inspection, retry controls, credential ownership, and export behavior with the same representative workflow. The easier builder is not automatically the easier system to operate after six months.
Cost comparison
Do not compare headline plan prices alone. Model the number of runs, billable steps or operations, premium connectors, team seats, data transfer, AI usage, and human review. A platform can be cheaper at low volume and more expensive once a workflow fans out across several actions.
Make: Flexible scenarios still require ownership, error routing, and operations discipline. n8n: Self-hosting transfers reliability, upgrades, secrets, and incident response to your team.
Evidence
Run the same workflow in both products
We compared Make and n8n as operating systems for one defined workflow, not as lists of unrelated features. Use identical test records, owners, connected systems, volume assumptions, review requirements, and failure scenarios. Record setup time separately from recurring maintenance so a fast demonstration does not hide six months of operational work.
Make trial
Build a webhook scenario that validates a payload, branches by customer type, transforms one field, and routes rejected records to a review queue. Record operations for normal, retried, and rejected runs.
Force this failure condition: Scenario flexibility can hide expensive loops or incomplete error handlers. Force malformed payloads, a 429 response, and an expired connection to see how incomplete executions are surfaced.
n8n trial
Create a workflow with a webhook, code transformation, credentialed API call, and dead-letter path. If self-hosting is considered, include backup restore, upgrade, and secret rotation in the trial.
Force this failure condition: The workflow editor is only one part of the system. Queue capacity, database health, encryption keys, worker scaling, community nodes, and version upgrades become operational dependencies.
Reconcile cost and control
For each product, count billable runs, actions or operations, retries, premium connectors, users, data transfer, AI usage, human review, incident recovery, and the owner hours needed each month. Compare conservative, expected, and stress cases. A lower subscription is not a saving when failures are difficult to detect or corrections consume more time than the manual baseline.
Test the exit before selecting a winner
Make: Keep scenario blueprints, data mappings, custom functions, connection owners, and data-store schemas in a separate decision record. Verify that exported blueprints exclude credentials and still require manual setup.
n8n: Export workflow JSON, inventory credentials separately, document environment variables and custom nodes, and test a clean restore. Self-hosted data is useful only when backups and keys can be recovered.
Advance a product only when another team member can inspect the evidence, repeat a normal run, identify a partial failure, and explain the recovery and export path. Document one reason to reject each product before making the final choice; this prevents brand familiarity from becoming the decision criterion.