Weaviate 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.
| Dimension | Weaviate | Supabase (pgvector) |
|---|---|---|
| Overall | 8.2 | 8.6 |
| Capability fit | 8.8 | 8.5 |
| Price / performance | 7.5 | 9.0 |
| Latency / reliability | 8.4 | 8.6 |
| Developer & agent DX | 8.2 | 9.4 |
| Privacy / data retention | 8.2 | 8.0 |
| Lock-in risk (higher = worse) | 3.5 | 3.0 |
| Maturity / track record | 8.8 | 9.0 |
| Pricing | Open-source + Weaviate Cloud; modular vectorizers; hybrid search; usage/cluster pricing on cloud. | Postgres + pgvector + Auth + Storage; usage on compute/storage; free tier. Vectors hitchhike on Postgres. |
| Tagline | Best when hybrid search and modularity matter. Cloud for convenience; self-host when lock-in anxiety spikes. | Depot default for most agent apps under ~25–50M vectors. Don't add Pinecone until Postgres actually hurts. |
Weaviate
Best when hybrid search and modularity matter. Cloud for convenience; self-host when lock-in anxiety spikes. Strengths: Hybrid search + modules; Open-source escape hatch; Strong RAG feature set.
Strengths
- Hybrid search + modules
- Open-source escape hatch
- Strong RAG feature set
Weaknesses
- Ops complexity self-hosted
- Cloud pricing needs care
- Performance tuning required at scale
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
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