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Onyx vs Qdrant

OnyxQdrant

Bottom line: Onyx for engineering-capable teams; Qdrant for cost-sensitive teams wanting performance.

OnyxOnyx

Open-source AI chat and enterprise search over your company's knowledge.

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QdrantQdrant

High-performance open-source vector search engine

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
open-sourceenterprise-searchragself-hostedai-assistant
vector-databaseopen-sourcerustsimilarity-searchrag
Best for
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
  • Cost-sensitive teams wanting performance
  • RAG apps needing advanced filtering
  • Teams comfortable with self-hosting
Pros
  • Open-source and MIT-licensed with free self-hosting
  • 40+ connectors to common workplace apps
  • Model-agnostic, works with any LLM
  • Granular access controls and data residency
  • Active GitHub community and rapid development
  • Open source under Apache 2.0, free to self-host
  • Fast, memory-efficient Rust engine
  • Advanced metadata filtering and payload support
  • Quantization to reduce memory and cost
  • Resource-based hourly cloud billing is predictable
Cons
  • Self-hosting requires engineering effort to deploy and maintain
  • Less polished onboarding than turnkey SaaS
  • No native mobile app
  • Advanced/enterprise features may need the paid tier
  • Support for self-hosters is community-driven
  • Self-hosting distributed clusters needs ops effort
  • Fewer built-in RAG conveniences than Weaviate
  • Smaller enterprise track record than incumbents
  • Advanced tuning requires understanding of ANN internals
  • No native embedding generation (bring your own)

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