HaystackvsSemantic Kernel

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

Haystack

Data & ETL

Open-source LLM framework for building NLP pipelines

Full review →Website ↗

Semantic Kernel

Developer Tools

Microsoft's AI orchestration SDK for building agents with .NET, Python, and Java

Full review →Website ↗
FeatureHaystackSemantic Kernel
CategoryData & ETLDeveloper Tools
PricingFree (open-source)Free (open-source)
GitHub Stars
18k
✓ More stars
23k
PlatformsLinux, macOS, Windows, DockerLinux, macOS, Windows
Key Features
  • ✓ Pipeline builder
  • ✓ RAG
  • ✓ Document processing
  • ✓ Model serving
  • ✓ REST API
  • ✓ Plugin system
  • ✓ Memory
  • ✓ Planner
  • ✓ Multi-language
  • ✓ Azure integration
Pros
  • + Production-grade RAG pipelines
  • + Clean pipeline abstraction
  • + Strong documentation
  • + Multiple backend support
  • + Enterprise ready
  • + Enterprise-ready with Microsoft backing
  • + Multi-language (C#, Python, Java)
  • + Deep Azure OpenAI integration
  • + Plugin architecture for extensibility
Cons
  • − Steeper learning curve than LlamaIndex
  • − Less community content
  • − Breaking changes between versions
  • − Heavy framework
  • − Heavy enterprise focus
  • − Verbose API compared to alternatives
Tags
ragnlppipelineopen-source
microsoftsdkenterprisedotnet

Want to compare different tools?

← Back to compare picker

Related Comparisons

Haystack vs LlamaIndex →Semantic Kernel vs LlamaIndex →Haystack vs Crawl4AI →Semantic Kernel vs Crawl4AI →Haystack vs Anthropic MCP →Semantic Kernel vs Anthropic MCP →Haystack vs Gradio →Semantic Kernel vs Gradio →Haystack vs Streamlit →Semantic Kernel vs Streamlit →Haystack vs DSPy →Semantic Kernel vs DSPy →