Make vs n8n (2026): Managed Cloud Workflow Agility vs Self-Hosted Open-Source Sovereignty
Cloud convenience versus complete on-premise data control with AI agent native orchestration. We break down raw API speeds, scalable monthly burn, developer satisfaction, and the true cost of ownership.
Make
Managed cloud automation engine with SOC2 compliance and zero server maintenance.
n8n
Fair-code node-based workflow automation engine deployable on Docker, Railway, or AWS.
The Executive Verdict
Make is the best hosted managed platform with zero devops overhead, while n8n is the gold standard for technical teams requiring on-premise deployment, unlimited executions, and LangChain AI agent integration.
Companies seeking rapid automation delivery without running Docker containers or Kubernetes clusters.
DevOps engineers, data teams, and AI developers building LLM agents with local embeddings and privacy needs.
| Benchmark Criterion | Make | n8n | Edge |
|---|---|---|---|
| Hosting Sovereignty | Managed Cloud Only (US/EU) | Self-hosted Docker / Cloud / On-Prem | n8n |
| AI Agent / LangChain Integration | Standard OpenAI / Anthropic modules | Native LangChain nodes & vector memory | n8n |
| Maintenance Overhead | Zero (fully managed) | Requires server maintenance & Postgres DB | Make |
| Execution Limits at Scale | Tiered by credits purchased | Unlimited executions (bounded only by CPU/RAM) | n8n |
Operational Cost at Scale: Enterprise AI Pipeline (500k ops/month)
Helia Forensic Takeaway: For engineering teams comfortable running Docker, self-hosting n8n saves over $3,000 annually while ensuring sensitive customer data never leaves internal VPC firewalls.
Is n8n truly free to self-host for commercial use? +
Yes, under the n8n Fair-Code license (Sustainable Use License), you can use self-hosted n8n internally for your own business at zero software licensing cost.
Can I run Python scripts directly inside n8n workflows? +
Yes. n8n includes native Code nodes supporting both modern JavaScript and Python for arbitrary data transformation.
All shootouts are produced via empirical testing matrices and production workloads. Software vendors do not pay for placement, rank adjustments, or review modifications.