Turso vs Neon
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 | Turso | Neon |
|---|---|---|
| Overall | 8.2 | 8.6 |
| Capability fit | 7.8 | 8.6 |
| Price / performance | 9.0 | 8.8 |
| Latency / reliability | 8.4 | 8.6 |
| Developer & agent DX | 8.8 | 9.4 |
| Privacy / data retention | 8.2 | 8.2 |
| Lock-in risk (higher = worse) | 3.6 | 3.0 |
| Maturity / track record | 8.0 | 8.5 |
| Pricing | As of 2026-09-14 (turso.tech/pricing): Free $0 — 100 DBs, 5GB storage, 500M rows read, 10M written, 3GB embedded sync, 1-day PITR. Developer $4.99/mo; Scaler $24.92/mo; Pro $416.58/mo (annual-save prices shown). Unlimite… | Serverless Postgres with branching; pgvector supported; usage-based compute/storage. |
| Tagline | Depot pick for edge/per-tenant SQLite agent state. Serverless Postgres pick stays Neon; hot KV stays Redis… | Excellent serverless Postgres for agent apps that want branching + pgvector without Supabase's full BaaS. |
Turso
Depot pick for edge/per-tenant SQLite agent state. Serverless Postgres pick stays Neon; hot KV stays Redis; pgvector RAG stays Supabase. Strengths: Per-tenant/per-agent SQLite DBs are cheap and numerous; Edge replicas + embedded sync for local-first agents; Clear free→$5 path.
Strengths
- Per-tenant/per-agent SQLite DBs are cheap and numerous
- Edge replicas + embedded sync for local-first agents
- Clear free→$5 path
Weaknesses
- Rows-read metering can surprise chatty agents
- Not a full Postgres (Neon/Supabase) or vector-first DB
- Vector story is bring-your-own / extensions — not Pinecone-class
Neon
Excellent serverless Postgres for agent apps that want branching + pgvector without Supabase's full BaaS. Strengths: Serverless Postgres DX; Branching for previews/agents; pgvector without managing Postgres.
Strengths
- Serverless Postgres DX
- Branching for previews/agents
- pgvector without managing Postgres
Weaknesses
- Not a dedicated vector DB
- Cold starts on free compute
- Scale limits vs dedicated vector engines
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