StackMatch / Compare / PlanetScale vs Neon
Honest Tool Comparison

PlanetScale vs Neon

An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.

For most teams: Neon edges ahead on our scoring

PlanetScale

professional
Database & Data Warehousing

Serverless MySQL platform built on Vitess — horizontal scaling, schema branching, and non-blocking migrations.

Scaler Pro: from $39/month. Enterprise: custom. No free tier.

Neon

starter
Database & Data Warehousing

Serverless Postgres with instant branching — separate storage and compute, scale to zero, fork prod data in seconds.

Free: 0.5 GB, 1 compute. Launch: $19/month. Scale: $69/month. Business/Enterprise: custom.

Side-by-Side Comparison

Objective metrics, no spin.

N/A
Rating
N/A
professional
Pricing tier
✓ Betterstarter
medium
Learning curve
✓ Bettereasy
1–3 weeks for production workloads
Setup time
Same day for first project
4 listed
Integrations
4 listed
medium, large, enterprise
Best company size
small, medium, large
Top Features
Vitess-based horizontal sharding
Schema branching with deploy requests
Non-blocking schema changes
Insights query analyzer
Features
Top Features
Branching with copy-on-write storage
Scale-to-zero compute
Point-in-time restore
Read replicas and connection pooling
Choose PlanetScale if...

Teams running large MySQL-compatible workloads that have outgrown a single primary and want safe, branchable schema changes.

Avoid PlanetScale if...

Cost-sensitive small projects — the minimum pricing and lack of a free tier make it hard to justify for side projects.

Choose Neon if...

Modern web apps needing per-PR preview databases, AI apps using pgvector, or any Postgres workload that benefits from scale-to-zero.

Avoid Neon if...

Heavy always-on OLTP at scale — traditional managed Postgres (RDS, Aurora) has more predictable performance characteristics.

Shared Integrations (3)

Both tools connect to these — you won't lose workflow continuity whichever you pick.

VercelPrismaGitHub

Both suited for: medium, large companies

Since both tools target medium and large companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.

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Other Database & Data Warehousing Tools to Consider

If neither is the right fit, these are the next best alternatives in the same category.

Snowflake

enterprise

Cloud data platform for data warehousing and analytics

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Databricks

enterprise

Unified analytics platform built on Apache Spark

View profile →

Amazon Redshift

professional

AWS cloud data warehouse

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