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Chroma vs Supabase (pgvector)

Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.

DimensionChromaSupabase (pgvector)
Overall7.98.6
Capability fit7.28.5
Price / performance9.09.0
Latency / reliability7.08.6
Developer & agent DX9.29.4
Privacy / data retention7.58.0
Lock-in risk (higher = worse)2.53.0
Maturity / track record7.59.0
PricingAs of 2026-09-14: Open-source embeddable vector DB + hosted Chroma Cloud; free/local for prototypes; Cloud usage-based for managed. Excellent DX for demos; graduate before high QPS/filtered production.Postgres + pgvector + Auth + Storage; usage on compute/storage; free tier. Vectors hitchhike on Postgres.
TaglinePrototype on Chroma; graduate to Qdrant/pgvector/Pinecone before your corpus and QPS grow up.Depot default for most agent apps under ~25–50M vectors. Don't add Pinecone until Postgres actually hurts.

Chroma

Prototype on Chroma; graduate to Qdrant/pgvector/Pinecone before your corpus and QPS grow up. Strengths: Fastest path to local RAG prototype; Python-native DX; Good for demos and notebooks.

Strengths

  • Fastest path to local RAG prototype
  • Python-native DX
  • Good for demos and notebooks

Weaknesses

  • Not the scale leader vs Qdrant/Milvus/Pinecone
  • Production features still catching up
  • Hosted maturity evolving
GET /api/providers/chroma

Supabase (pgvector)

Depot default for most agent apps under ~25–50M vectors. Don't add Pinecone until Postgres actually hurts. Strengths: One backend for auth, DB, storage, vectors; Best DX for many Next.js agent apps; Open standards (Postgres).

Strengths

  • One backend for auth, DB, storage, vectors
  • Best DX for many Next.js agent apps
  • Open standards (Postgres)

Weaknesses

  • Vector scale ceiling vs dedicated engines
  • Need pgvectorscale/careful indexing past tens of M
  • Not a pure vector specialist
GET /api/providers/supabase-pgvector

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