n8nvsQdrant

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 ↗

Qdrant

Vector Databases

High-performance vector database for AI applications

Full review →Website ↗
Featuren8nQdrant
CategoryAutomation PlatformsVector Databases
PricingFree (self-hosted), cloud from $20/moFree (open-source) + Cloud
GitHub Stars
✓ More stars
52k
21k
PlatformsmacOS, Linux, Windows, DockerLinux, macOS, Docker
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)
  • ✓ Vector search
  • ✓ Filtering
  • ✓ Distributed
  • ✓ REST/gRPC API
  • ✓ Rust-based
Pros
  • + Self-hostable (full data control)
  • + 400+ integrations
  • + Visual workflow builder
  • + Native AI/LLM nodes
  • + Active community
  • + Blazing fast (Rust-based)
  • + Advanced filtering capabilities
  • + Production-ready scaling
  • + Rich API (REST + gRPC)
  • + Great documentation
Cons
  • − Resource-heavy for self-hosting
  • − Learning curve for complex workflows
  • − More complex than ChromaDB
  • − Self-hosting requires resources
  • − Smaller ecosystem
  • − Cloud pricing can be high
Tags
automationworkflowno-codeself-hostedintegrations
vector-dbrusthigh-performanceopen-source

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