Every developer hitting Postgres connection limits or serverless cold starts faces the same fork in the road: Turso vs Neon. Both are serverless SQL databases, but they solve fundamentally different problems — and picking wrong costs you real engineering time.
The Turso vs Neon decision comes down to one question: do you need Postgres compatibility, or do you need edge latency? I've built with both, and here's the breakdown without the marketing fluff.
Turso vs Neon: The Key Differences
Turso is built on libSQL, a fork of SQLite. It gives you SQLite's embedded simplicity but distributes it across edge locations via a primary-replica model. Reads happen at the edge (sub-10ms), writes go to the primary. No Postgres wire protocol here — you get SQLite's feature set, which is smaller but extremely fast.
Neon is Postgres, period. It decouples storage from compute, so you get autoscaling compute that sleeps when idle. The catch: you're still talking to a Postgres instance over the network. Latency is regional, not global. Neon's magic is in write scaling and branching — instant database clones for preview environments.
The real difference is architecture philosophy. Turso optimizes for where your data lives. Neon optimizes for how your compute scales.
When to Use Turso
Use Turso when your reads dominate and your users are global. Think content-heavy apps, user profiles, session data — anything where a 200ms database round-trip kills UX.
Here's the concrete difference. With Turso, you query from the nearest edge:
import { createClient } from '@libsql/client';
const db = createClient({
url: process.env.TURSO_DB_URL!,
authToken: process.env.TURSO_AUTH_TOKEN!,
});
// This query resolves from the closest edge replica, not a central server
const user = await db.execute({
sql: 'SELECT * FROM users WHERE id = ?',
args: [userId],
});
That query runs in ~5ms from Tokyo, London, or São Paulo. With Neon, you'd be hitting a single region — 150ms+ from the other side of the planet.
Turso also shines for local-first apps. You can embed the same database file on-device and sync. That's impossible with Neon.
When to Use Neon
Use Neon when you need Postgres features — full SQL, JSONB, extensions like PostGIS — and your traffic is regional or unpredictable. If you're already using Prisma, Drizzle, or any Postgres-specific ORM, Neon is a drop-in replacement.
Neon's branching is the killer feature for development workflows:
// Create a branch from your production database — instant, isolated
const branch = await neonApi.createBranch(projectId, {
parent_id: productionBranchId,
name: `preview-${pullRequestNumber}`,
});
// Your CI can run migrations and tests against this branch
// then delete it when the PR merges
Try doing that with Turso — you can't. Neon gives you database-per-PR without the infrastructure headache.
Neon also handles write-heavy workloads better because it's real Postgres under the hood. SQLite's single-writer model gets painful with concurrent writes.
Turso or Neon: Which One Should You Pick?
Pick Turso if your app is read-heavy, has a global user base, or needs offline/local-first capabilities. Pick Neon if you need Postgres compatibility, write-heavy workloads, or instant database branching for preview environments.
The conflict only exists if you try to use one for the other's job. Turso for analytics queries? Painful. Neon for edge reads? Latency penalty.
My Take
I reach for Neon when I'm building a SaaS that lives in one region and needs Postgres features — that's 70% of my projects. I reach for Turso when I'm building something that needs to feel instant globally, like a chat app or a real-time dashboard.
Don't let the "serverless" label fool you. These are different tools with different tradeoffs. If you're not sure, ask yourself: where are your users physically located? If the answer is "everywhere," Turso wins. If the answer is "one region" or "I need Postgres," Neon wins.
The decision becomes obvious the moment you realize Turso is a distributed SQLite and Neon is a serverless Postgres — they're not competing for the same job.