Make vs n8n for Marketing Teams
Make (formerly Integromat) and n8n are closer competitors than either is to Zapier. Both offer real branching, iterators and data transformation on a visual canvas. The choice usually comes down to hosting model, how much code you want available, and whether your team prefers Make's polished operator-based canvas or n8n's node-and-code approach.
Short answer
Choose Make if you want a hosted, polished visual builder with strong app coverage and no infrastructure responsibility. Choose n8n if you want self-hosting, unrestricted code steps, Git-friendly workflow definitions or cheaper economics on high-volume, multi-step automation.
Side-by-side comparison
| Criterion | Make | n8n |
|---|---|---|
| Pricing model | Per operation (each module run counts) | Per workflow execution on cloud; infrastructure cost when self-hosted |
| Hosting | Vendor cloud only | Cloud or self-hosted |
| Visual canvas | Highly polished, operator-based flow | Node graph, more technical in feel |
| Code steps | Limited functions and custom apps | Full JavaScript and Python nodes |
| Iteration over collections | Native iterators and aggregators | Item-based processing with loop nodes |
| Error handling | Error handler routes per module | Dedicated error workflows plus retries and replay |
| Version control | In-app versioning; blueprint export | JSON export suited to Git workflows |
| AI capability | AI modules and OpenAI-type integrations | AI and agent nodes plus arbitrary API access |
| Best fit owner | Ops-minded marketers | Technical marketers and developers |
Operations versus executions
Make counts operations: every module run in a scenario. n8n cloud counts workflow executions. A twelve-module scenario processing 5,000 records a month is 60,000 operations in Make and 5,000 executions in n8n. That does not automatically make n8n cheaper at your volume, but it means you have to model your own workload rather than compare plan headlines.
How much code do you want available?
Make deliberately keeps you inside its module system, which produces scenarios that are easier for non-developers to read. n8n gives you full code nodes, which is powerful and also a maintenance risk: undocumented JavaScript in a node is exactly the kind of thing that becomes unmaintainable when the author leaves.
- Prefer Make when you want constrained, readable automation the whole team can follow
- Prefer n8n when workflows genuinely need transformation logic no visual module expresses well
- Whichever you pick, require comments and documentation on non-obvious steps
Self-hosting is the clean dividing line
If a requirement says data must stay in your infrastructure or a specific region, Make is out and n8n is in. This single constraint decides the choice for most regulated clients regardless of feature preference.
Reliability engineering
Both handle failure better than most teams configure them to. n8n's separate error workflows make it easier to centralise alerting and replay logic; Make's per-module error routes are more granular but scatter handling across the scenario. In either tool the real failure is not configuring alerting at all — silent breakage is the most common automation incident we are called in to fix.
Team ownership and hiring
Make skills are common among marketing ops contractors; n8n skills skew technical. Consider who will maintain this in eighteen months and whether you can hire or contract for it.
Which should you choose?
Choose Make when
- You want a hosted platform with no infrastructure responsibility
- Marketing ops staff will build and own the scenarios
- You value a polished, readable visual canvas
- Your workloads are moderate and mostly module-shaped
Choose n8n when
- Self-hosting or data residency is required
- Workflows need real code, custom transformations or unusual APIs
- You want workflow definitions in version control alongside application code
- High-volume, many-step workflows make per-operation billing expensive
Frequently asked questions
Which is easier to learn, Make or n8n?
Most non-developers find Make easier because its canvas and module system guide you. n8n is quicker for people who already think in APIs and data structures.
Can Make handle AI workflows?
Yes, through AI modules and API connections. n8n tends to be more flexible for agent-style workflows because AI nodes sit next to code and arbitrary HTTP calls.
Is self-hosted n8n a lot of work to run?
It is a real operational responsibility: upgrades, backups, monitoring and scaling workers. Budget for it, or use n8n cloud unless residency requires otherwise.
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