PlanetScale vs Neon

Introduction

PlanetScale and Neon represent a new generation of database platforms built for modern development workflows. Both offer serverless MySQL (PlanetScale) and PostgreSQL (Neon) with features like branching, instant cloning, and scale-to-zero. They eliminate traditional database management while providing developer-friendly features that integrate with modern CI/CD and version control practices.

Database Technology

PlanetScale: Serverless MySQL

PlanetScale is built on MySQL-compatible Vitess, the same technology that powers YouTube's database infrastructure.

**Key characteristics:**

MySQL-compatible (most MySQL tools and ORMs work)

Vitess-based for horizontal scaling

Strong consistency with distributed transactions

VNode-based sharding for large datasets

-- PlanetScale: standard MySQL syntax

CREATE TABLE users (

  id BIGINT AUTO_INCREMENT PRIMARY KEY,

  email VARCHAR(255) NOT NULL,

  name VARCHAR(100),

  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,

  UNIQUE KEY idx_email (email)

);



-- PlanetScale-specific: no foreign key constraints

-- (Vitess does not enforce FKs across shards)

**Limitation:** No foreign key constraints (Vitess limitation). Joins work within the same shard but are limited across shards.

Neon: Serverless PostgreSQL

Neon is built on PostgreSQL with a custom storage engine that separates compute from storage.

**Key characteristics:**

Full PostgreSQL compatibility (all PG features work)

Bottomless storage with page-level tiering

Instant branching using copy-on-write

Autoscaling from 0.25 to 16 vCPU

-- Neon: full PostgreSQL with all features

CREATE TABLE users (

  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),

  email TEXT NOT NULL UNIQUE,

  name TEXT,

  created_at TIMESTAMPTZ DEFAULT NOW()

);



CREATE TABLE posts (

  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),

  author_id UUID REFERENCES users(id),

  title TEXT NOT NULL,

  body TEXT,

  created_at TIMESTAMPTZ DEFAULT NOW()

);



-- Full PostgreSQL features work: JSONB, full-text search, GIS

CREATE INDEX idx_posts_search ON posts USING GIN(to_tsvector('english', title || ' ' || COALESCE(body, '')));

**Strengths:** Full PostgreSQL compatibility including foreign keys, JSONB, full-text search, PostGIS, and all PostgreSQL extensions.

Database Branching

Branching is the killer feature of both platforms, modeled after Git.

How It Works

# PlanetScale CLI

pscale branch create myapp add-billing-feature

pscale branch promote myapp add-billing-feature



# Neon CLI (neonctl)

neonctl branches create --parent myapp --name add-billing-feature

**PlanetScale branches:**

Branches are full read-write copies of the data

Schema changes are made on branches, then deployed via deploy requests

Deploy requests show schema diff, handle migrations, and auto-resolve conflicts

**Neon branches:**

Branches use copy-on-write at the page level — nearly instant and storage-efficient

Logical replication between branches is supported

Time-travel: connect to any point in time within the retention window (like `git checkout` for databases)

Serverless Capabilities

| Feature | PlanetScale | Neon |

|---------|-------------|------|

| Scale-to-zero | Yes (after inactivity) | Yes (after 5-60 min) |

| Cold start | ~1-2 seconds | ~1-3 seconds |

| Max storage | 500GB (scalable) | 200GB (scalable) |

| Max connections | 25-250 (plan dependent) | 100-500 (plan dependent) |

| Compute scaling | Vertical (plan based) | Auto (0.25-16 vCPU) |

| Regions | 50+ regions | 10+ regions |

Pricing

| Plan | PlanetScale | Neon |

|------|-------------|------|

| Free tier | 1GB storage, 100M row reads/month | 0.5GB storage, 100 compute hours |

| Paid starter | ~$39/month | ~$19/month |

| Pro | ~$129/month | ~$69/month |

| Enterprise | Custom | Custom |

Neon is generally more affordable at lower tiers. PlanetScale's pricing scales with row reads, which can be unpredictable for high-traffic applications.

Developer Experience

**PlanetScale** offers:

Web console with schema visualization

`pscale` CLI with shell integration

Deploy request workflow (like GitHub PRs)

VSCode extension

Connection pooling via PlanetScale Boost

**Neon** offers:

Web console with SQL editor

`neonctl` CLI

Connection pooling via PgBouncer (built-in)

Vercel, Netlify, and Cloudflare integration

Drizzle Studio integration

Ecosystem Compatibility

**PlanetScale** works with MySQL-compatible ORMs:

Prisma (MySQL adapter)

Drizzle (MySQL adapter)

TypeORM

Knex

Raw `mysql2` driver

**Neon** works with PostgreSQL-compatible ORMs:

Prisma (PostgreSQL adapter)

Drizzle (PostgreSQL adapter)

TypeORM

Kysely

Raw `pg` driver

Supabase SDK

When to Choose What

**Choose PlanetScale when:**

Your team is more familiar with MySQL

You want the deploy-request workflow for database schema changes

You need horizontal read scaling with Vitess

Your application uses MySQL-compatible tools

**Choose Neon when:**

You want full PostgreSQL compatibility (foreign keys, extensions)

You need PostgreSQL-specific features (JSONB, full-text search, PostGIS)

You want more predictable pricing

You value time-travel queries and instant branching

You're deploying on Vercel or Edge Functions

Conclusion

PlanetScale and Neon both solve the same fundamental problem — making databases as developer-friendly as the rest of the modern toolchain — but they serve different database ecosystems. If MySQL is your database of choice, PlanetScale's Vitess-based architecture provides scalability with a familiar workflow. If PostgreSQL is your preference, Neon offers full PG compatibility with innovative branching and autoscaling features. In 2026, Neon's PostgreSQL-based approach has broader ecosystem support and more affordable pricing, making it the default choice for new projects.