Vespa

About

Pros
  • Online big data search
  • Scalable vector database
  • Unbeatable performance
  • High availability
  • Open-source software
  • Free cloud service
  • Co-location of vectors, metadata, content
  • Runs inference and scales seamlessly
  • Supports vast use cases
  • Full-featured search functionality
  • Real-time machine-learned model inference
  • Simplifies application building process
  • Automatic data management
  • Redistributes data on changes
  • Efficient ML model support
  • End-to-end performance
  • Real-time personalization
  • High traffic handling
  • Combines structured data and text
  • Auto-elastic data management
  • C++ core for hardware optimizations
  • Efficient memory and core utilization
  • Support for ANN search
  • Used by leading companies
  • Helps for recommendations and personalizations
  • Enables semi-structured navigation
  • Backend for scalable navigation apps
  • Supports automated refeeding on changes
  • Supports most machine-learned models
  • Supports vector, textual and structure search
  • Supports adding new fields quickly
  • Used for real-time matching
  • Cons
  • No dedicated customer support
  • No specific data security measures
  • Requires technical expertise
  • Limited to vector databases
  • No multilingual support
  • No specific data integration features
  • No offline operation
  • Limited documentation
  • High requirements for system resources
  • Screenshots

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