Turso vs PlanetScale vs Neon: Serverless Database Comparison

Serverless databases scale to zero cost when idle and auto-scale with traffic. Three leading options target different use cases. Compare their architectures, pricing, and ideal workloads.

Architecture

Turso: Built on libSQL (a fork of SQLite). Databases are embedded and replicated to edge locations globally. Extremely low latency reads from the nearest replica.

PlanetScale: Serverless MySQL built on Vitess (the technology behind YouTube's database). Branching workflow for schema changes. MySQL-compatible.

Neon: Serverless PostgreSQL with copy-on-write branching. Separates storage and compute. Autoscales compute to zero.

Feature Comparison

Pricing

Free Tiers

Paid Plans

Cost at Scale

For an application with 100 million reads/day and 1 million writes/day:

Turso is typically the cheapest due to its SQLite-based architecture and aggressive free tier.

Performance

Read Latency

Turso's edge replicas provide significantly lower global read latency.

Write Latency

Turso has higher write latency because writes must reach the primary database. For read-heavy workloads (most web applications), this is not a problem.

Connection Model

Turso's HTTP API avoids connection pooling complexity entirely. PlanetScale and Neon support both traditional connections and serverless HTTP drivers.

Developer Experience

Turso + Drizzle

import { drizzle } from 'drizzle-orm/libsql'
import { createClient } from '@libsql/client'

const client = createClient({
  url: process.env.TURSO_DATABASE_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN!,
})

const db = drizzle(client)

const users = await db.select().from(usersTable)

Neon + Drizzle

import { drizzle } from 'drizzle-orm/neon-http'
import { neon } from '@neondatabase/serverless'

const sql = neon(process.env.DATABASE_URL!)
const db = drizzle(sql)

const users = await db.select().from(usersTable)

PlanetScale + Drizzle

import { drizzle } from 'drizzle-orm/planetscale-serverless'
import { Client } from '@planetscale/database'

const client = new Client({ url: process.env.DATABASE_URL! })
const db = drizzle(client)

const users = await db.select().from(usersTable)

All three work well with Drizzle ORM. Setup is straightforward.

When to Choose Each

Turso

1. Global edge applications (lowest read latency globally)
2. Budget-conscious (generous free tier, lowest paid costs)
3. Read-heavy workloads (blogs, content sites, read-mostly apps)
4. Embedded use cases (SQLite at the edge)
5. Multi-tenant applications (500 databases on free tier)

PlanetScale

1. MySQL compatibility required (migrating from MySQL)
2. Large-scale applications (Vitess is battle-tested at YouTube scale)
3. Schema branching workflow (non-blocking schema changes)
4. Enterprise requirements (SOC 2, HIPAA)

Neon

1. PostgreSQL compatibility required (most common choice)
2. Extensions needed (pgvector for AI, PostGIS for geo)
3. Complex queries (PostgreSQL's query planner is superior)
4. Branching for preview environments (branch per PR)
5. Existing PostgreSQL expertise on the team

Our Default

We use Neon (PostgreSQL) as our default database for new projects. PostgreSQL's ecosystem (extensions, tooling, and community) is unmatched. Neon's branching feature integrates well with our Vercel preview deployment workflow.

For applications requiring global edge performance, we evaluate Turso.

Contact us to discuss database architecture for your application.