Choosing between PlanetScale and Neon is one of the most consequential database decisions you’ll make in 2026. Both promise serverless simplicity and developer-friendly workflows, but they take fundamentally different approaches to solving the same problem.
PlanetScale builds on MySQL with Vitess (the technology powering YouTube). Neon reimagines PostgreSQL for the serverless era. Which one belongs in your stack? Let’s break it down.
Quick Verdict: PlanetScale vs Neon
- Choose PlanetScale if: You prefer MySQL, need predictable pricing at scale, or require battle-tested horizontal scaling
- Choose Neon if: You want PostgreSQL, need database branching for development workflows, or want true scale-to-zero capabilities
- Best for startups: Neon (generous free tier, PostgreSQL compatibility)
- Best for high-traffic apps: PlanetScale (proven at scale, predictable costs)
The Fundamental Difference
Before diving into features, understand this: PlanetScale and Neon aren’t directly competing technologies—they’re different database engines with different strengths.
| Aspect | PlanetScale | Neon |
|---|---|---|
| Database Engine | MySQL (Vitess) | PostgreSQL |
| Architecture | Distributed MySQL | Separated compute/storage |
| Scale-to-Zero | No | Yes |
| Branching | Yes | Yes (instant) |
| Foreign Keys | Supported (added 2023) | Full PostgreSQL support |
PlanetScale: MySQL Built for Scale
PlanetScale wraps MySQL in Vitess, the same sharding technology that powers YouTube. If you’ve ever wondered how to scale MySQL to billions of requests, PlanetScale is the answer.
Key Features
- Database Branching: Create isolated copies of your database for development—like Git branches for your data
- Non-blocking Schema Changes: Deploy migrations without locking tables or causing downtime
- Automatic Sharding: Horizontal scaling happens transparently as your data grows
- Connection Pooling: Built-in connection management for serverless functions
- Deploy Requests: Review schema changes before applying them to production
Pricing Model
PlanetScale uses a usage-based model with predictable tiers:
- Hobby: $0/month (5GB storage, 1 billion row reads)
- Scaler: $29/month (10GB storage, 100 billion row reads)
- Scaler Pro: $39/month (enhanced performance)
- Enterprise: Custom pricing for large-scale deployments
When to Choose PlanetScale
- Your team knows MySQL well
- You’re building an application that might need massive scale
- You want predictable pricing as you grow
- Zero-downtime schema migrations matter to you
- You prefer a more established, battle-tested solution
Neon: Serverless PostgreSQL Reimagined
Neon separates PostgreSQL’s compute and storage layers, enabling features that traditional PostgreSQL deployments can’t offer. It’s PostgreSQL as you know it, but with serverless superpowers.
Key Features
- Scale to Zero: When your database isn’t being used, compute shuts down completely—you pay nothing
- Instant Branching: Create full database branches in milliseconds using copy-on-write storage
- Point-in-Time Restore: Restore your database to any moment in the past seven days
- Autoscaling: Compute automatically scales up during traffic spikes and back down when quiet
- 100% PostgreSQL: Full compatibility with extensions, tools, and ecosystem
Pricing Model
Neon’s pricing scales with actual usage:
- Free: $0/month (0.5GB storage, 191 compute hours)
- Launch: $19/month (10GB storage, 300 compute hours)
- Scale: $69/month (50GB storage, 750 compute hours)
- Enterprise: Custom pricing with dedicated support
When to Choose Neon
- You prefer PostgreSQL’s features and ecosystem
- You’re building something that has variable traffic patterns
- Database branching is central to your workflow
- You want true scale-to-zero for side projects
- You need specific PostgreSQL extensions
Head-to-Head Comparison
Developer Experience
PlanetScale offers an excellent dashboard and CLI. Deploy requests work like pull requests for your schema—you can review, comment, and approve changes before they hit production. The web console is polished and intuitive.
Neon also provides a clean dashboard with their SQL editor built in. Their branching workflow integrates beautifully with modern CI/CD pipelines. The ability to spin up a branch, run tests, and destroy it in seconds is remarkable.
Winner: Tie—both excel at developer experience
Performance
PlanetScale consistently delivers fast query performance, especially for read-heavy workloads. Their global replication ensures low latency worldwide. According to their benchmarks, PlanetScale averages around 33,000 QPS.
Neon’s performance is excellent once warmed up, though cold starts (when scaling from zero) add latency. For consistently-used applications, performance is comparable. Neon averages around 27,000 QPS in comparable tests.
Winner: PlanetScale (marginally, especially for sustained workloads)
Branching
PlanetScale pioneered database branching. Creating a branch copies your schema and optionally your data. Branches work well but aren’t instant—larger databases take time to branch.
Neon’s branching is instant regardless of database size. Thanks to copy-on-write storage, a 100GB database branches in milliseconds. This is a genuine technological advantage.
Winner: Neon (instant branching is transformative)
Pricing at Scale
PlanetScale becomes more predictable as you scale. The per-row-read pricing means you know what you’ll pay. Many teams find this easier to budget for.
Neon’s compute-hour pricing can surprise you. If your application suddenly gets popular or runs inefficient queries, costs can spike. The scale-to-zero feature helps for low-traffic apps.
Winner: PlanetScale (more predictable for high-traffic apps)
Database Features
PlanetScale is MySQL, which means no CTEs (Common Table Expressions) or advanced PostgreSQL features. Foreign key support was added in 2023, but some MySQL limitations remain.
Neon is full PostgreSQL—CTEs, window functions, JSONB, full-text search, PostGIS, and the entire extension ecosystem. If you need PostgreSQL features, Neon delivers them all.
Winner: Neon (PostgreSQL’s feature set is richer)
Real-World Scenarios
Scenario 1: SaaS Startup
Recommendation: Neon
For a new SaaS application, Neon’s generous free tier and PostgreSQL compatibility make it ideal. You get database branching for safe development, scale-to-zero for keeping costs low while you find product-market fit, and full PostgreSQL when you need advanced queries.
Scenario 2: High-Traffic E-commerce
Recommendation: PlanetScale
E-commerce sites need predictable performance during traffic spikes. PlanetScale’s proven scaling through Vitess, combined with predictable pricing, makes it the safer choice when revenue depends on uptime.
Scenario 3: Developer Tool with Preview Environments
Recommendation: Neon
If every pull request needs its own database for testing, Neon’s instant branching is unbeatable. Spin up a branch, run your tests, tear it down—all in milliseconds at minimal cost.
Scenario 4: Mobile App Backend
Recommendation: Either works well
Mobile backends often have variable traffic patterns. Neon’s scale-to-zero helps during quiet periods, while PlanetScale’s global replication ensures fast response times worldwide. Choose based on MySQL vs PostgreSQL preference.
Migration Considerations
Moving to PlanetScale
If you’re coming from MySQL or MariaDB, migration is straightforward. PlanetScale provides import tools and documentation. Coming from PostgreSQL requires rewriting queries and potentially restructuring your data model.
Moving to Neon
PostgreSQL users will feel right at home. Import your existing database, and most things work immediately. MySQL users face a larger migration effort, converting schemas and rewriting database-specific code.
How They Fit with Other Tools
Both PlanetScale and Neon integrate well with the modern development ecosystem:
- Vercel: Both offer native integrations
- Prisma: Excellent support for both
- Drizzle: Works great with either
- Railway: Connects easily to both (see our Railway vs Render comparison)
If you’re also evaluating Supabase for its additional features beyond just the database, check out our Supabase vs Firebase comparison.
Final Verdict
There’s no universal winner between PlanetScale and Neon—the right choice depends entirely on your situation.
Choose PlanetScale when:
- You’re committed to MySQL
- Predictable pricing at scale matters
- You need proven horizontal scaling
- Zero-downtime migrations are critical
Choose Neon when:
- You want PostgreSQL’s features
- Instant database branching is important
- Scale-to-zero helps your use case
- You’re building variable-traffic applications
Both are excellent choices backed by well-funded companies building for the long term. You won’t go wrong with either—just pick the one that matches your existing expertise and specific requirements.
FAQ
Can I switch between PlanetScale and Neon later?
Switching requires significant effort since you’re moving between MySQL and PostgreSQL. It’s not impossible, but plan to rewrite queries and potentially restructure your data. Choose carefully upfront.
Which has better uptime?
Both services maintain excellent uptime records with 99.99% SLAs available on higher tiers. PlanetScale has a longer track record, but Neon’s architecture is designed for resilience.
Do they support edge deployments?
Both offer global read replicas for low-latency reads worldwide. Neither supports true edge compute at the database level—they’re regional services with global replication options.
Which is better for Vercel deployments?
Both integrate seamlessly with Vercel. Neon has a slightly tighter integration with automatic environment variable injection. Either works excellently for serverless Next.js applications.
Is the free tier enough for a side project?
Yes, both free tiers support small applications. Neon’s scale-to-zero makes it particularly cost-effective for sporadically-used projects. PlanetScale’s free tier has generous row-read limits.
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