n8n vs Make 2026: Which Automation Tool is Better?

n8n's self-hosting capability is its biggest differentiator. The community edition is free, runs on any server with Docker, and gives you complete control over your data and workflows. For companies handling sensitive data — healthcare records, financial data, customer PII — keeping automation logic on your own infrastructure is often a compliance requirement, not just a preference.

Make's 1,500+ native app connectors cover virtually every major SaaS tool a business might use. n8n has ~400 native integrations — solid coverage of the essentials, but gaps for more niche tools. The practical difference narrows significantly because n8n's HTTP Request node lets you connect any REST API without a native integration, but this requires understanding API documentation and authentication, which not every user is comfortable with.

For non-technical users who need to connect a specific niche app, Make is more likely to have a pre-built module that works out of the box.

n8n has emerged as one of the leading platforms for building AI agent workflows in 2026. Its native AI nodes support OpenAI, Anthropic, Google Gemini, and local models via Ollama. The AI Agent node lets you build autonomous agents with tool access — the agent can decide which workflow steps to take based on LLM reasoning. You can build RAG pipelines, multi-step AI research workflows, and LLM-powered data processing chains.

Make has added AI modules and OpenAI/Anthropic integrations, but the experience feels more bolted-on compared to n8n's deeply integrated AI toolkit. For teams serious about AI automation, n8n is the stronger platform.

Make's visual scenario builder is genuinely beginner-friendly. The module-and-route metaphor is intuitive, data mapping is guided with clear field pickers, and error handling is built into the visual flow. A non-technical marketer can build a meaningful automation in Make within their first hour.

n8n has a learning curve. The node-based interface requires understanding how data flows between nodes as JSON objects, expressions use a custom syntax that takes practice, and self-hosting adds infrastructure setup to the onboarding. n8n has improved significantly with its 2024-2026 UI refresh, but Make is still more accessible to non-developers.

Self-hosted n8n is free for community edition users — truly unlimited workflows and executions on your own infrastructure. Cloud n8n starts at $24/month. Make's free tier covers 1,000 operations/month, which is often consumed quickly by real business workflows. Paid Make plans start at $9/month (Core, 10,000 ops) but operations add up fast — every module run in a scenario counts as one operation.

For high-volume automation (tens of thousands of executions monthly), n8n self-hosted is dramatically cheaper. For low-volume cloud-hosted use, Make's $9/month entry tier may actually be more cost-effective than n8n Cloud.

Is n8n better than Make (formerly Integromat)?

It depends on your priorities. n8n is better if you want self-hosting (free), open-source control, or need to run complex logic, write custom code, and keep data on your own infrastructure. Make is better if you want a polished visual builder, faster onboarding, a wider range of pre-built app integrations, and you don't need self-hosting. For teams with developer capacity who handle sensitive data, n8n tends to win. For less-technical teams who want fast deployment, Make is easier to get started with.

Can I self-host Make (formerly Integromat)?

No. Make is cloud-only — you cannot self-host it. All your workflows and data run through Make's servers. n8n, by contrast, is open-source and can be self-hosted for free on your own server or cloud (AWS, DigitalOcean, etc.). This is the single biggest differentiating factor for teams with data privacy requirements, GDPR compliance needs, or the technical capacity to manage their own infrastructure.

How does n8n pricing compare to Make?

n8n's cloud pricing starts at $24/month (Starter tier, 2,500 workflow executions). If you self-host, n8n is completely free for most use cases (community edition). Make's free tier includes 1,000 operations/month; paid plans start at $9/month (Core, 10,000 operations). Make is generally cheaper for cloud-hosted small-volume use. n8n self-hosted is free but requires server management. For high-volume enterprise use, both offer custom pricing.

Which has more integrations — n8n or Make?

Make has more pre-built native integrations — over 1,500 app connectors vs n8n's ~400 native nodes. However, n8n's gap is largely bridged by its HTTP Request node (connect any API with JSON), its community node library, and the ability to write custom JavaScript logic directly in workflows. For common SaaS apps, both tools cover the essentials. Make wins on breadth of no-code integrations; n8n wins on flexibility for custom or less-common APIs.

Is n8n harder to use than Make?

Yes, n8n has a steeper learning curve than Make, especially for non-technical users. n8n's interface is more developer-oriented — it expects you to understand JSON data structures, write expressions, and occasionally use JavaScript. Make's visual builder is more intuitive for business users with drag-and-drop modules and clear data mapping. That said, n8n has improved significantly with better error messages and a growing template library. Developers typically prefer n8n's flexibility; non-technical operators often find Make easier.

Which is better for AI-powered workflows — n8n or Make?

Both tools have strong AI integration, but n8n has moved faster in 2025-2026. n8n's native AI nodes let you chain OpenAI, Anthropic, and other LLM calls directly in workflows, with a built-in agent mode for building LLM-powered automations. Make has added AI modules but the experience is less cohesive. For teams building AI agents, data pipelines that use LLMs, or RAG workflows, n8n's AI toolkit is more developed. For simple AI-augmented automation (summarize email, categorize support ticket), Make works fine.