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Chroma vs Qdrant

Side-by-side comparison of Chroma and Qdrant: 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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Qdrant
Qdrant

High-performance vector search engine built for production-grade AI retrieval at any scale

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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
2020
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
  • ·Built entirely in Rust with SIMD for high performance
  • ·Native hybrid search (dense + sparse vectors, BM25, SPLADE++)
  • ·Efficient one-stage filtering during HNSW traversal
  • ·Advanced quantization (scalar, binary, asymmetric) reducing memory up to 64x
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