Supabase (pgvector) vs Turbopuffer
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 | Supabase (pgvector) | Turbopuffer |
|---|---|---|
| Overall | 8.6 | 8.2 |
| Capability fit | 8.5 | 8.6 |
| Price / performance | 9.0 | 9.4 |
| Latency / reliability | 8.6 | 8.2 |
| Developer & agent DX | 9.4 | 8.5 |
| Privacy / data retention | 8.0 | 7.8 |
| Lock-in risk (higher = worse) | 3.0 | 4.5 |
| Maturity / track record | 9.0 | 7.0 |
| Pricing | Postgres + pgvector + Auth + Storage; usage on compute/storage; free tier. Vectors hitchhike on Postgres. | As of 2026-10-24 (turbopuffer.com/pricing, fetched 2026-10-24): Usage-based with plan minimums: launch '$16/month minimum usage', scale '$256/month minimum usage', enterprise '>= $4,096/month' with '35% usage premium'. '… |
| Tagline | Depot default for most agent apps under ~25–50M vectors. Don't add Pinecone until Postgres actually hurts. | When your vector bill scares you and much of the corpus is cold, Turbopuffer is the interesting answer. |
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
Turbopuffer
When your vector bill scares you and much of the corpus is cold, Turbopuffer is the interesting answer. Strengths: Excellent cost for large-scale / cold-heavy retrieval; Modern architecture for agent memory at scale; Simple operational model.
Strengths
- Excellent cost for large-scale / cold-heavy retrieval
- Modern architecture for agent memory at scale
- Simple operational model
Weaknesses
- Younger than Pinecone/Weaviate
- Feature set narrower for fancy hybrid modules
- Less community content
More pairs: anthropic-vs-openai · openai-vs-google-ai · groq-vs-fireworks · fireworks-vs-together · qdrant-vs-pinecone · pinecone-vs-supabase-pgvector · e2b-vs-modal · browserbase-vs-firecrawl