StackMatch / Compare / Neon vs PlanetScale
Honest Tool Comparison

Neon vs PlanetScale

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

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.

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.

Side-by-Side Comparison

Objective metrics, no spin.

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

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.

Shared Integrations (3)

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

VercelGitHubPrisma

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

View profile →
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