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Chroma vs turbopuffer

Side-by-side comparison of Chroma and turbopuffer: pricing, features, API access, and community ratings.

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Chroma
Chroma

Open-source search infrastructure for AI — vector, full-text, regex, and metadata search at scale

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turbopuffer
turbopuffer

Fast vector and full-text search engine built on object storage — 10x cheaper and infinitely scalable

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Category
Vector databases
Vector databases
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
All audiences
Technical
API available
Open source
Self-hostable
Model provider
Founded
2023
Headquarters
San Francisco, USA
Key strengths
  • ·Multi-modal search: vector, full-text (BM25/SPLADE), regex, and metadata in one system
  • ·Built on object storage (S3/GCS) — up to 10x cheaper than memory-based alternatives
  • ·Serverless and zero-ops — auto-scales with no manual tuning required
  • ·Apache 2.0 open-source with 27k GitHub stars and 15M+ monthly downloads
  • ·10x cheaper than traditional vector databases due to object storage architecture
  • ·Sub-10ms p50 latency with Memory/SSD caching layer
  • ·Massive scale: 4T+ documents, 10M+ writes/s, 25k+ queries/s in production
  • ·Hybrid search combining vector (ANN) and full-text (BM25) in one system
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