n8n

n8n (pronounced "nodemation") is an open-source workflow automation tool that combines the visual workflow building of Make and Zapier with the power of custom code execution and the freedom of self-hosting. Founded in 2019 in Berlin by Jan Oberhauser, n8n has grown into one of the most starred automation tools on GitHub (40,000+ stars) and serves teams that need automation without vendor lock-in or data privacy concerns. The key differentiator: you can see and modify the source code, host it on your own servers, and extend it with custom JavaScript or Python nodes. For technical teams that want automation without handing their data to a third-party SaaS, n8n is the natural choice.

Visual Workflow Builder with Code Superpowers

n8n's workflow editor is a visual canvas where you connect nodes (triggers and actions) to build automation flows. It's similar to Make's approach — you can see the entire workflow as a connected graph. But n8n adds something Make and Zapier don't have: Code nodes where you can write custom JavaScript or Python right inside the workflow. This means you're never stuck when a built-in integration doesn't do exactly what you need. Parse a complex XML response, calculate a custom metric, or call an obscure API — write a few lines of code and move on. The balance between visual building and code flexibility is n8n's defining strength.

Self-Hosting and Data Control

n8n can run on your own infrastructure — a VPS, Docker container, or Kubernetes cluster — giving you complete control over your data. Workflows, credentials, and execution logs never leave your servers. This is critical for companies in regulated industries (healthcare, finance, government) or teams that process sensitive data (customer PII, financial records, internal business data). Self-hosting also means no per-execution limits — your costs are just the infrastructure, not per-operation fees. A $20/month VPS can run thousands of workflows processing millions of executions monthly.

AI Agent Capabilities

n8n has invested heavily in AI integration, offering nodes for OpenAI, Anthropic (Claude), Google Gemini, and local models via Ollama. More importantly, n8n includes an AI Agent node that lets you build autonomous AI agents as part of your workflows. These agents can use tools (other workflow nodes), maintain conversation memory, and make decisions based on LLM reasoning. This positions n8n as not just an automation tool but an AI orchestration platform — a unique capability that Zapier and Make are only beginning to explore.

Integration Ecosystem

n8n offers 400+ built-in integrations covering major SaaS tools, databases, and protocols. While this is smaller than Zapier (6,000+) or Make (1,800+), n8n compensates with its HTTP Request node (call any API), community-contributed nodes, and the ability to build custom nodes using the n8n SDK. The community has created hundreds of additional nodes available via npm. For technical teams, the ability to write custom integrations is more valuable than a large pre-built catalog.

Pricing: Self-Hosted vs Cloud

n8n's Community Edition is free and open-source (fair-code license) for self-hosting, with no limits on workflows or executions. n8n Cloud starts at $20/month for 2,500 executions, scaling to $50/month for 10,000 executions and $120/month for 50,000. Enterprise Cloud and self-hosted Enterprise add SSO, RBAC, external secrets management, and SLA guarantees. The self-hosted Community Edition is the best value in automation — unlimited everything for the cost of a VPS. However, the fair-code license restricts commercial redistribution, so you can't resell n8n as a service.

Where n8n Falls Short

Self-hosting requires devops knowledge — you need to manage Docker containers, handle updates, configure databases (SQLite for small setups, PostgreSQL for production), and monitor uptime. If n8n crashes at 3 AM, you're responsible for restarting it. The UI, while functional, is less polished than Make's — managing large workflows with 50+ nodes can become visually cluttered. The integration count is lower than competitors, meaning you'll rely on the HTTP node more often. Documentation is improving but has gaps, especially for advanced use cases. And the community, while active on Discord and the forum, is smaller than Zapier's massive user base, so finding solutions to obscure problems takes more effort.