n8n vs Dify

Detailed side-by-side comparison to help you choose the right tool

n8n

🟡Low Code

AI Automation

Source-available workflow automation for technical teams building AI agents, integrations, and self-hosted business processes.

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Starting Price

Free
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Dify

🟡Low Code

AI app platform

Dify supports visual ai workflows, knowledge retrieval, agent tools for business ai applications and production llm workflows.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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Featuren8nDify
CategoryAI AutomationAI app platform
Pricing Plans205 tiers31 tiers
Starting PriceFreeFree
Key Features
  • • Visual workflow automation with code steps and conditional logic.
  • • AI agents, RAG, and model orchestration workflows.
  • • 500+ integrations and 9,500+ workflow templates.
  • • Agentic workflow builder for LLM applications
  • • Chatbot and assistant development workflows
  • • RAG-backed app patterns for knowledge products

n8n - Pros & Cons

Pros

  • ✓Supports complex workflow logic rather than only simple trigger-action automations.
  • ✓Includes a large template library, which helps teams start from existing automation patterns.
  • ✓Designed for moving and transforming data across many business systems.
  • ✓Offers native AI workflow capabilities for agents, RAG-style workflows, and model orchestration.
  • ✓Provides both hosted cloud plans and self-hosted deployment paths.
  • ✓Paid plans include unlimited users and workflows, with pricing based primarily on executions.

Cons

  • ✗Cloud pricing is execution-based, so high-volume workflows need usage planning.
  • ✗The platform is likely more complex than simple no-code automation tools for nontechnical users.
  • ✗Self-hosting can be an advantage, but it shifts operational responsibility to the customer.
  • ✗AI Workflow Builder credits vary by plan and may affect AI workflow experimentation.
  • ✗Enterprise governance is called out, but buyers should verify exact compliance requirements during procurement.

Dify - Pros & Cons

Pros

  • ✓Visual orchestration reduces boilerplate for common LLM flows
  • ✓Model flexibility helps teams compare providers
  • ✓Self-hosting and MCP support suit technical integration teams

Cons

  • ✗Production deployments still require monitoring and security engineering
  • ✗Complex workflows can become difficult to debug visually
  • ✗Hosted pricing and current usage limits could not be verified

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🔒 Security & Compliance Comparison

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Security Featuren8nDify
SOC2——
GDPR——
HIPAA——
SSO✅ Yes✅ Yes
Self-Hosted🔀 Hybrid✅ Yes
On-Prem✅ Yes✅ Yes
RBAC✅ Yes✅ Yes
Audit Log✅ Yes✅ Yes
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyEU—
Data Retentionconfigurableconfigurable
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