Make vs n8n (2026): Which Automation Platform Should You Choose?

The automation platform landscape. Make and n8n occupy the middle ground in the automation market — more powerful than Zapier, more accessible than custom code. They both connect apps, process data, and automate workflows. But their architectures and philosophies differ in ways that matter for specific use cases.

Make's visual workflow excellence. Make (formerly Integromat) has the best visual workflow builder in the industry. Its canvas view shows your entire automation as a flowchart — data flows between modules, branches are clearly visible, and error handling is visually represented. For non-technical users who need to build complex workflows, Make's interface is genuinely intuitive. The cloud-hosted model means zero infrastructure management — sign up, build your workflow, and it runs. Make connects to 1,500+ apps natively and handles most standard automation needs well.

n8n's open-source power. n8n's architecture is fundamentally different. It is open-source software that you can self-host on your own infrastructure. This has three major implications. First, no per-operation pricing — self-hosted n8n has no operation limits, which means high-volume workflows cost only your hosting fees. Second, data sovereignty — your data never leaves your servers, which matters for regulated industries and privacy-conscious organisations. Third, extensibility — you can create custom nodes, write custom code in JavaScript or Python within workflows, and modify the platform itself.

AI workflow capabilities. This is where n8n has pulled ahead. n8n has built native AI nodes that support LangChain-style chains, AI agents, vector stores, and document loaders directly in the workflow builder. You can build a RAG pipeline, a multi-step AI agent, or a content generation workflow using visual nodes rather than code. Make supports AI APIs through HTTP modules, which is flexible but requires more manual configuration. For teams building AI-heavy automation, n8n's native AI support is a significant advantage.

The cost equation at scale. At low volumes, Make and n8n Cloud are similarly priced. At high volumes, the difference is dramatic. A Make plan processing 100,000 operations per month costs hundreds of dollars. Self-hosted n8n processing the same volume costs only your server hosting — typically $20-50/month on a modest VPS. For organisations scaling their automation, self-hosted n8n's cost structure is vastly more favourable.

Community and ecosystem. n8n's open-source community is a genuine asset. With over 40,000 GitHub stars and an active contributor base, n8n benefits from community-created nodes, shared workflow templates, and rapid feature development. Make's community is smaller but the platform benefits from professional support and a polished user experience. If you are comfortable navigating open-source communities and documentation, n8n's ecosystem is richer.

The decision criteria. Choose Make if your team is non-technical, wants the best visual builder, and prefers managed cloud infrastructure. Choose n8n if your team has technical capability, wants self-hosting or cost control at scale, or needs native AI workflow features. For organisations exploring AI automation specifically, n8n's native AI nodes and open-source flexibility make it the stronger platform for building sophisticated AI-powered workflows.