PlanetScale vs Neon: Serverless MySQL vs Serverless Postgres Showdown (2026)
PlanetScale vs Neon serverless database comparison 2026 — branching, autoscaling, pricing, PostgreSQL vs MySQL, connection pooling, and which serverless database to choose.
Quick Answer
Neon is the better default for most serverless apps — PostgreSQL compatibility, free branching, and a genuinely free tier. PlanetScale offers superior horizontal sharding via Vitess for very large MySQL-compatible databases, but removed its free tier in 2024.
PlanetScale vs Neon: Overview
High-scale MySQL workloads, horizontal sharding, teams already on MySQL
No (removed free tier in 2024)
From $39/mo (Scaler); usage-based reads/writes
PlanetScale vs Neon: Feature Comparison
| Feature | PlanetScale | Neon |
|---|---|---|
| Database Engine | MySQL (Vitess) | PostgreSQL |
| Free Tier | No | Yes (0.5GB storage) |
| Horizontal Sharding | Yes (Vitess) | Limited |
| Schema Branching | Yes | Yes (per-branch DB) |
| pgvector / PostGIS | No (MySQL) | Yes |
| Non-blocking Migrations | Yes (Vitess) | Via pg_osc / manually |
Pros & Cons
PlanetScale
Pros
- Vitess under the hood: horizontal sharding and query routing at YouTube/Shopify scale
- Schema branching: branch your database schema like Git — test migrations without risk
- Non-blocking schema changes: add columns, modify indexes without locking tables
- Connection pooling built in: handles thousands of serverless function connections
- Strong performance: horizontal read replicas with automatic query routing
Cons
- No free tier: minimum $39/mo — significant barrier for hobby projects
- MySQL compatibility only: no PostgreSQL — blocks pgvector, PostGIS, pg_cron, RLS
- No foreign keys enforced: Vitess disables FK enforcement by default for sharding compatibility
- Prisma and some ORMs require special handling for the no-FK constraint
Neon
Pros
- Full PostgreSQL: pgvector, PostGIS, RLS, foreign keys, extensions — nothing missing
- Scale-to-zero: compute pauses when idle, resumes on next query (~500ms cold start)
- Branch-per-environment: free database branches for preview deployments (Vercel integration)
- Autoscaling: compute scales from 0.25–8 CU based on load automatically
- Generous free tier: enough for hobby projects and small production apps
Cons
- Cold start on scale-to-zero: ~500ms latency on first query after idle — bad for low-latency APIs
- Connection pooling via PgBouncer required for serverless (many short-lived connections)
- Less proven at extreme scale vs PlanetScale/Vitess horizontal sharding
- IP allow-listing and VPC peering only on higher-tier plans
Our Verdict: PlanetScale vs Neon
Choose Neon for new projects — full PostgreSQL, a free tier, pgvector for AI features, and excellent Vercel/Next.js integration make it the better default in 2026. Choose PlanetScale when you're operating a large MySQL-compatible database that needs horizontal sharding via Vitess, or when you're migrating from an existing MySQL application and need non-blocking schema changes at scale.
PlanetScale vs Neon — FAQs
What is the cold start issue with Neon scale-to-zero?
When Neon's compute pauses after 5 minutes of inactivity, the next query triggers a compute resumption — taking ~500ms before your query runs. For most web apps this is imperceptible (users don't query databases directly). For low-latency APIs where first-query p99 matters, disable scale-to-zero (available on paid plans) or use a connection warming strategy.
Why did PlanetScale remove its free tier?
PlanetScale removed its free Hobby tier in April 2024, citing infrastructure costs and a pivot toward enterprise customers. The minimum is now $39/month (Scaler plan). This significantly impacted hobby developers and small projects, driving many to Neon (which kept a free tier) or Turso (SQLite-based, very generous free tier) as alternatives.
What is Vitess and how does PlanetScale use it?
Vitess is a horizontal scaling middleware for MySQL, originally built at YouTube and now a CNCF graduated project. PlanetScale runs Vitess under the hood, which enables connection multiplexing (thousands of serverless connections funneled into a few MySQL connections), non-blocking schema changes via the Vitess Online DDL, and horizontal sharding for tables exceeding single-server capacity.
Can I use Neon with Prisma?
Yes — Neon works seamlessly with Prisma. Use the Neon serverless driver (`@neondatabase/serverless`) for edge environments (Cloudflare Workers, Vercel Edge) that don't support TCP connections. For standard Node.js apps, use Prisma with PgBouncer connection pooling enabled in your Neon connection string to handle many short-lived serverless function connections.
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