UnstructuredvsWeaviate

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

Unstructured

Data & ETL

ETL for unstructured data — PDFs, images, HTML to LLM-ready

Weaviate

Vector Databases

Open-source vector database with built-in AI modules

FeatureUnstructuredWeaviate
CategoryData & ETLVector Databases
PricingFree (open-source) + APIFree (open-source) + Cloud
GitHub Stars
9k
More stars
12k
PlatformsLinux, macOS, DockerLinux, Docker, Web
Key Features
  • PDF parsing
  • Image extraction
  • HTML processing
  • Chunking
  • Multi-format
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
Pros
  • + Best document parsing quality
  • + Supports every format
  • + RAG-optimized output
  • + Active development
  • + API + local options
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
Cons
  • Heavy dependencies
  • Slow for large document sets
  • API pricing per page
  • Complex configuration
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
Tags
etldocumentsparsingopen-source
vector-dbsearchgraphqlopen-source

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