Turso vs Neon (2026): Edge SQLite vs Serverless Postgres
By ToolVS Research Team · Updated April 9, 2026 · Based on real-world testing
Quick verdict: Neon wins 6-4. Full serverless Postgres with branching, auto-scaling, and a generous free tier. Turso edge SQLite is fascinating -- embedded replicas give you sub-millisecond reads globally -- but Postgres compatibility and ecosystem make Neon the safer choice for most apps.
Our Verdict
Neon
- Full Postgres compatibility
- Database branching (like git for DBs)
- Generous free tier (0.5GB)
- Cold starts on inactive databases
- Single region by default
- Less edge-native than Turso
Turso
- Edge replicas — global sub-ms reads
- Embedded SQLite (libSQL)
- Great for edge-first architectures
- SQLite limitations (no advanced Postgres)
- Smaller ecosystem
- More expensive base plan ($29/mo)
Side-by-Side Comparison
| Category | Neon | Turso | Winner |
|---|---|---|---|
| Database Engine | Full Postgres | LibSQL (SQLite fork) | ✔ Neon |
| SQL Compatibility | Full Postgres SQL | SQLite SQL subset | ✔ Neon |
| Edge Performance | Single region default | Global edge replicas | ✔ Turso |
| Branching | Git-like DB branches | Not available | ✔ Neon |
| Free Tier | 0.5GB storage, auto-suspend | 500 databases, 9GB total | ✔ Neon |
| Scaling | Auto-scale compute | Embedded replicas | ✔ Neon |
| ORM Support | All major ORMs | Drizzle, Prisma (limited) | ✔ Neon |
| Cold Starts | 3-5s on inactive DBs | Always warm at edge | ✔ Turso |
| Price | $19/mo Pro | $29/mo Scaler | ✔ Neon |
| Ecosystem | Postgres ecosystem — massive | Growing but niche | ✔ Neon |
Which do you use?
Who Should Choose What?
Choose Neon if:
You want serverless Postgres with all its power -- full SQL, extensions, ORM support, and database branching. Neon is the best serverless Postgres available. The branching feature alone is revolutionary for development workflows.
Choose Turso if:
You are building an edge-first application where read latency matters at a global scale. Turso embedded replicas give you sub-millisecond reads everywhere. Great for Cloudflare Workers and other edge compute platforms.
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Our Methodology
We deployed identical applications on both platforms, measuring query latency from multiple global regions, cold start times, migration workflows, and pricing at various usage levels.
Ready to choose?
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