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turbopuffer vs Milvus

turbopufferMilvus

Bottom line: turbopuffer for multi-tenant SaaS with per-customer indexes; Milvus for teams operating at large scale.

turbopufferturbopuffer

Serverless vector and full-text search built on object storage

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MilvusMilvus

Open-source vector database built for scale

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Votes00
PricingPaidFreemium
CategoryVector DatabasesVector Databases
Tags
vector-databaseserverlessobject-storagefull-text-searchrag
vector-databaseopen-sourcesimilarity-searchscalabilityrag
Best for
  • Multi-tenant SaaS with per-customer indexes
  • Cost-conscious large-scale RAG
  • Teams with mostly-cold data
  • Teams operating at large scale
  • Billion-vector search workloads
  • Enterprise RAG and search
Pros
  • Extremely cheap storage on object storage (~$0.02/GB)
  • Pure usage-based pricing with strong volume discounts
  • Great fit for many cold namespaces (multi-tenant)
  • Vector and full-text search in one engine
  • Query rate reduced to $1/PB in 2026
  • 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
  • No free plan; monthly minimums apply
  • Managed-only — no self-hosting
  • Cold namespaces have higher first-query latency
  • Pricing model requires understanding usage patterns
  • Younger product than established vector DBs
  • 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

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