PlanetScalevsNeon

Databases · Updated 2026

Quick Verdict

Choose PlanetScale if your stack is MySQL-centric and you prioritize a predictable, Git-like workflow for schema changes. Choose Neon if you prefer Postgres, need granular pay-per-use pricing, and value instant branching for development.

PlanetScale and Neon are both modern, serverless, and developer-focused database platforms, but they diverge in core technology and pricing philosophy. PlanetScale offers MySQL compatibility via Vitess with a fixed-price tier, emphasizing a streamlined, branch-based schema migration workflow. Neon provides serverless Postgres with decoupled compute and storage, featuring autoscaling and pay-per-use billing. Their primary distinction is the database engine (MySQL vs. Postgres), which dictates the choice for most teams, followed by pricing model preferences.

Side-by-Side Comparison

AspectPlanetScaleNeon
PricingFixed monthly plan ($39/mo) with included resources.Pay-per-use: compute per hour + storage per GB.
Ease of UseHigh; Git-integrated CLI for schema changes, simple dashboard.High; web console with instant branching, familiar Postgres tooling.
ScalabilityHorizontal scaling via Vitess, highly available.Autoscaling compute with decoupled, bottomless storage.
IntegrationsStrong Vercel, GitHub integration; MySQL-compatible drivers.Standard Postgres drivers and extensions; Vercel integration.
Open SourceYes (Vitess)Yes (Neon serverless driver, contributions to Postgres)
Best ForMySQL applications needing reliable schema management.Postgres applications with variable traffic and modern dev workflows.

Choose PlanetScale if...

PlanetScale is the better choice when your application relies on MySQL compatibility and you value a highly predictable, flat-rate monthly cost. It is also ideal for teams that want a tightly integrated, Git-like workflow for managing and deploying schema changes with high confidence and zero-downtime deployments.

Choose Neon if...

Neon is the superior option for teams committed to the Postgres ecosystem and its specific extensions. It excels for variable workloads where pay-per-use pricing is more cost-effective, and for development workflows that benefit from its instant, copy-on-write branching to create full database clones for testing or preview deployments.

Product Details

PlanetScale

A serverless database platform powered by Vitess, offering MySQL compatibility with a developer-friendly workflow.

Pricing

$39/mo

Free tierEnterprise

Best For

Development teams and companies building modern, scalable web applications who need a highly available, MySQL-compatible database with a Git-like workflow for schema changes.

Key Features

Serverless MySQL compatibilityDatabase branching & deploy requestsNon-blocking schema changesAutomatic sharding & scalingBuilt-in connection poolingPoint-in-time recovery

Pros

  • + Exceptional developer experience with database branching
  • + True horizontal scalability via Vitess
  • + No downtime for schema migrations

Cons

  • - Limited to MySQL wire protocol (no other database engines)
  • - Can be more expensive than basic managed MySQL services
  • - Advanced sharding configuration requires enterprise plan

Neon

A fully managed serverless Postgres with a built-in autoscaling compute layer and cost-effective, bottomless storage.

Pricing

$0.20/hour for compute + $0.10/GB-month for storage

Free tierEnterpriseOpen Source

Best For

Development teams and modern applications that need a scalable, developer-friendly Postgres with features like instant branching and pay-per-use pricing.

Key Features

Serverless PostgresDatabase Branching (like Git)Instant Autoscaling ComputeSeparated Compute & StoragePoint-in-Time RestoreFull PostgreSQL Compatibility

Pros

  • + Developer-centric features like instant branching dramatically improve workflows
  • + Cost-effective for spiky workloads due to autoscaling and per-second billing
  • + Fully compatible with the PostgreSQL ecosystem and tools

Cons

  • - Serverless architecture can introduce cold start latency for inactive databases
  • - Pricing model (compute + storage) can be complex to estimate compared to flat-rate plans
  • - A newer platform with a smaller operational track record than established cloud providers

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