Dify vs n8n
Detailed side-by-side comparison to help you choose the right tool
Dify
LLM app platform
Dify is an open-source LLM app development platform that combines a visual workflow builder, RAG pipelines, agent tools, and an LLMOps backbone.
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Freen8n
🟡Low CodeAI Automation
Source-available workflow automation for technical teams building AI agents, integrations, and self-hosted business processes.
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FreeFeature Comparison
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Dify - Pros & Cons
Pros
- ✓Open-source self-hosted path keeps long-term costs and data residency under your control
- ✓Model-agnostic gateway lets you swap providers without rewriting workflows
- ✓Strong built-in RAG with rerankers, metadata filters, and multiple chunking strategies
- ✓Production-ready observability: traces, prompt versioning, annotations, cost tracking
- ✓Active plugin marketplace with growing MCP-compatible integrations
Cons
- ✗Complex agent logic with many branches is harder to express than in code-first frameworks
- ✗Cloud message credits get expensive fast at production volume — most heavy users self-host
- ✗Plugin ecosystem is smaller than n8n or Zapier; niche integrations often need custom work
- ✗Visual editor learning curve is real for non-technical users despite the no-code framing
- ✗Self-hosting requires Docker, Postgres, Redis, and a vector DB — not a zero-ops deployment
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.
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