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Onyx vs Milvus

OnyxMilvus

Bottom line: Onyx for engineering-capable teams; Milvus for teams operating at large scale.

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

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Open-source vector database built for scale

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
open-sourceenterprise-searchragself-hostedai-assistant
vector-databaseopen-sourcesimilarity-searchscalabilityrag
Best for
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
  • Teams operating at large scale
  • Billion-vector search workloads
  • Enterprise RAG and search
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
  • Proven at billion-vector scale
  • Distributed, cloud-native architecture
  • Multiple index types and GPU acceleration
  • Hybrid search and rich filtering
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
  • Operationally heavy to self-host at scale
  • Multi-component architecture adds complexity
  • Overkill for small or simple projects
  • Steeper learning curve than embedded databases
  • Zilliz Cloud compute-unit pricing needs modeling

Comparison generated from each tool's listing. Add or remove tools above to change it.