When automation needs outgrow Zapier's linear model, teams typically evaluate n8n and Make as their next platform. Both offer node-based visual builders with branching, loops, and error handling — but they represent different trade-offs between control and convenience. n8n gives you the source code, self-hosting freedom, and unlimited customization. Make gives you a polished cloud experience with the most intuitive visual workflow designer available.
The deployment model is the fundamental differentiator. n8n can run anywhere — a $5/month VPS, your company's Kubernetes cluster, a Raspberry Pi, or n8n Cloud if you prefer managed hosting. This flexibility matters for data sovereignty, compliance, and air-gapped environments. Make is exclusively cloud-hosted, with data processed on their infrastructure. For teams bound by GDPR, HIPAA, or internal data governance policies, n8n's self-hosting capability is often the deciding factor.
Pricing mechanics favor n8n for high-volume use cases. n8n's self-hosted Community Edition is completely free with no limits on executions, workflows, or users. n8n Cloud starts at €20/month for 2,500 executions. Make's free tier includes 1,000 operations/month, with paid plans starting at $9/month for 10,000 operations. The key distinction: n8n counts one execution per workflow run regardless of steps, while Make counts each module operation separately. A 10-step workflow running 1,000 times costs 1,000 executions on n8n but 10,000 operations on Make.
Make's visual builder leads the industry in design quality. Workflows render as clean flowcharts with clear data flow visualization, collapsible modules, and an intuitive routing interface that makes complex automations readable. n8n's canvas-based builder is powerful and improving rapidly, but its interface exposes more technical detail — JSON structures, expression editors, and debugging panels that feel more like a development tool than a design tool. Developers appreciate this depth; non-technical users may find it intimidating.
Custom code and extensibility give n8n a clear advantage for technical teams. n8n's Code node supports JavaScript and Python execution within workflows, and developers can build custom nodes as npm packages. The entire platform is extendable through its open architecture. Make offers a Code module for JavaScript/Python and a custom app builder, but the customization is bounded by the platform's cloud constraints — you cannot modify the runtime environment or add system-level dependencies.
AI and agent capabilities represent n8n's most significant recent advancement. n8n includes a native AI agent builder with LLM nodes, tool calling, memory management, and vector store integrations. You can build autonomous agents that reason, use tools, and chain multi-step AI operations within your automation workflows. Make provides AI modules for calling external APIs (OpenAI, Anthropic) and basic prompt-based operations, but lacks the agent orchestration architecture that n8n offers natively.