Neon

★★★★★ 4.5
VS
PlanetScale icon

PlanetScale

★★★★★ 4.5
Feature Neon PlanetScale
Pricing Free / from $19/mo From $39/mo
Free Plan ✓ Yes ✗ No
Rating 4.5 / 5 4.5 / 5
Best For developers, startups, serverless-apps, ci-cd-workflows saas-companies, startups, developer-teams, high-traffic-apps
Founded 2021 2018
Serverless Postgres
Branching
Autoscaling
Connection Pooling
Point In Time Recovery
Logical Replication
Database Branching
Schema Changes
Auto Scaling
Read Replicas
Insights Dashboard
Cli Tools

✓ Neon Pros

  • Serverless autoscaling
  • Database branching
  • Scale to zero
  • Generous free tier

✗ Neon Cons

  • Cold starts on free tier
  • Newer platform
  • Limited extension support

✓ PlanetScale Pros

  • Git-like branching for database schema changes
  • Non-blocking schema changes with no downtime
  • Built on Vitess (powers YouTube's database)
  • Excellent developer experience and CLI

✗ PlanetScale Cons

  • Free tier was removed in 2024
  • MySQL-compatible only (no PostgreSQL)
  • Foreign key constraints not supported in traditional way

The Verdict

Neon is built for developers and startups, with a focus on serverless-postgres and branching. PlanetScale targets saas companies and startups and leads with database-branching and schema-changes.

On pricing, Neon is the clear winner for budget-conscious users — starting at $19/mo compared to $39/mo for PlanetScale. That $20/mo difference adds up quickly for growing teams.

Neon has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. PlanetScale requires a paid subscription from day one.

Feature-wise, PlanetScale offers broader built-in capabilities (7 features vs 6), while Neon takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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