n8nvsOllama

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

n8n

Automation Platforms

Open-source workflow automation with built-in AI capabilities

Full review →Website ↗

Ollama

Local AI Infrastructure

Featured

Run large language models locally with one command

Full review →Website ↗
Featuren8nOllama
CategoryAutomation PlatformsLocal AI Infrastructure
PricingFree (self-hosted), cloud from $20/moFree (open-source)
GitHub Stars
52k
✓ More stars
120k
PlatformsmacOS, Linux, Windows, DockermacOS, Linux, Windows
Key Features
  • ✓ 400+ integrations (APIs, databases, SaaS)
  • ✓ Native AI nodes (LLM, vector store, RAG chains)
  • ✓ Visual drag-and-drop workflow builder
  • ✓ Self-hostable via Docker (full data control)
  • ✓ Webhook triggers, cron schedules, event-driven
  • ✓ JavaScript/Python code nodes for custom logic
  • ✓ Credential management and encryption
  • ✓ Active community (52K+ GitHub stars)
  • ✓ One-command setup
  • ✓ API server
  • ✓ GPU acceleration
  • ✓ Model library
  • ✓ Modelfile
  • ✓ OpenAI-compatible API
Pros
  • + Self-hostable (full data control)
  • + 400+ integrations
  • + Visual workflow builder
  • + Native AI/LLM nodes
  • + Active community
  • + Dead simple to use (one command)
  • + Runs completely offline
  • + OpenAI-compatible API
  • + Huge model library
  • + Active community and updates
Cons
  • − Resource-heavy for self-hosting
  • − Learning curve for complex workflows
  • − Requires decent GPU for large models
  • − Slower than cloud APIs
  • − No built-in UI (need Open WebUI etc.)
  • − Model quality varies
Tags
automationworkflowno-codeself-hostedintegrations
open-sourcelocalllminferenceprivacygpu

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