This comparison usually gets written by whichever platform’s affiliate program pays better. I build production workflows in both every week, so here’s the version I give clients — including the cases where I’d pick against my own preference.
Where Make wins
Make’s visual canvas is genuinely better for team legibility. An ops manager can open a scenario and follow the flow without training, which matters more than engineers admit — the automation your team can read is the automation your team will trust and maintain.
Its app library covers mainstream SaaS deeply, and for moderate-volume workflows — onboarding packets, lead syncs, report assembly — the operation-based pricing stays reasonable. If your back office runs on common tools and hundreds-to-thousands of runs a month, Make is the pragmatic pick.
Where n8n wins
Volume economics, first: self-hosted n8n turns per-operation costs into server costs, which is decisive at scale. A document pipeline I run processes 12,000 items a day — that workload on per-operation pricing would be absurd.
Control, second: real code nodes when expressions run out, native AI/LangChain nodes for classify-extract-draft steps, and error workflows that treat failure as a first-class path rather than a setting. Data residency, third: when documents can’t leave your infrastructure, self-hosting isn’t a preference, it’s the requirement.
The decision table I actually use
- Under ~2k runs/month, mainstream apps, ops team maintains it → Make
- High volume, loops and branching, or per-run cost sensitivity → n8n self-hosted
- AI steps in the middle of workflows → n8n first, Make is catching up
- Nobody available to own a server → Make, or n8n cloud
- Compliance or data-residency constraints → n8n self-hosted, no contest
- Simple two-step glue between two SaaS tools → honestly, Zapier
The meta-answer: platform choice matters less than build discipline. A Make scenario with error handlers and dedup beats a sloppy n8n workflow every time. Pick the platform your constraints dictate, then build it like it’s production software — because it is.
Related service: Workflow Automation & Integrations · Proof: Document pipeline automation for a fintech operations team