Firebase vs PlanetScale
Compare Firebase and PlanetScale side by side. Features, pricing, pros and cons to help you choose the right database platform.
🏆 Quick Verdict
Firebase Firestore is a NoSQL real-time document database. PlanetScale is a serverless MySQL-compatible relational database. They're solving the same 'where do I store data' problem with completely different approaches.
Overall Scores
Firebase
PlanetScale
Feature Comparison
Firebase Advantages
- ✓ Authentication
- ✓ File Storage
- ✓ Realtime Sync
- ✓ Edge Functions
- ✓ REST API
- ✓ Row-Level Security
- ✓ Webhooks
Both Have
- = Database
- = Auto Backups
- = CLI Tool
- = TypeScript Support
PlanetScale Advantages
- ✓ Database Branching
Pricing Comparison
Firebase
Free starting
- free: Available
- blaze: pay-as-you-go
PlanetScale
Free starting
- free: Available
- scaler: $29/mo
- scalerPro: $59/mo
- enterprise: custom
Pros & Cons
Pros
- + Google-backed, extremely reliable
- + Excellent real-time sync
- + Massive community and ecosystem
- + Great mobile SDK support
- + Integrated analytics and crashlytics
Cons
- − NoSQL only (Firestore)
- − Vendor lock-in
- − Costs can spike unexpectedly
Pros
- + Git-like database branching
- + MySQL-compatible (Vitess)
- + Zero-downtime schema changes
- + Excellent performance at scale
- + Non-blocking schema migrations
Cons
- − Database only, no auth/storage
- − No foreign keys (by design)
- − MySQL only (no Postgres)
In-Depth Analysis
Firebase Firestore's real-time capabilities are unique. Clients subscribe to collections or documents and receive push updates when data changes — no polling required. This makes Firestore ideal for features like live feeds, collaborative editing, real-time dashboards, and chat. The Firebase SDK handles WebSocket connections, reconnection, and offline caching automatically.
PlanetScale is built on Vitess (the same technology MySQL scaling infrastructure at YouTube uses) and provides serverless MySQL with a killer developer workflow: database branching. Just like Git branches, you create a PlanetScale branch for schema changes, test them, and merge — with zero-downtime schema migrations. For teams comfortable with SQL, PlanetScale's workflow is a meaningful DX improvement over traditional MySQL.
The data model choice is significant. Firestore's document/collection model is excellent for hierarchical data but limited for complex joins and relational queries. PlanetScale's relational model with foreign keys (sort of — PlanetScale doesn't enforce FK constraints but supports the pattern via application logic) handles complex queries and relationships that Firestore struggles with.
Pricing: Both have generous free tiers. PlanetScale's Hobby plan includes 1 billion row reads and 10 million row writes monthly. Firestore's Spark plan is free up to 1GB storage and 50K reads/day. For read-heavy applications at scale, PlanetScale's pricing model is often more predictable than Firestore's per-read billing.
Who Should Choose What?
Choose Firebase if:
Firebase: Real-time features, mobile apps, and hierarchical data that benefits from live sync
Choose PlanetScale if:
PlanetScale: SQL-based applications needing relational data, complex queries, and a developer-friendly schema branching workflow
Ready to Get Started?
Try both platforms free and see which one feels right.