Supabase vs PlanetScale(2026)
Supabase is better for teams that need full postgres with sql. PlanetScale is the stronger choice if non-blocking schema changes. Supabase is freemium (from $25/month) and PlanetScale is paid (from $39/month).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
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Supabase
Supabase is an open source Firebase alternative providing a Postgres database, Auth, realtime, storage, and edge functions.
Starting at $25/month
Visit SupabasePlanetScale
PlanetScale is a MySQL-compatible serverless database with branching workflows for schema changes.
Starting at $39/month
Visit PlanetScaleHow Do Supabase and PlanetScale Compare on Features?
| Feature | Supabase | PlanetScale |
|---|---|---|
| Pricing model | freemium | paid |
| Starting price | $25/month | $39/month |
| PostgreSQL | ✓ | — |
| Authentication | ✓ | — |
| Realtime | ✓ | — |
| Storage | ✓ | — |
| Edge Functions | ✓ | — |
| Auto-generated APIs | ✓ | — |
| MySQL-compatible | — | ✓ |
| Database branching | — | ✓ |
| Non-blocking schema changes | — | ✓ |
| Query insights | — | ✓ |
| Replication | — | ✓ |
Supabase Pros and Cons vs PlanetScale
Supabase
PlanetScale
Deep dive: Supabase
When to choose Supabase
Choose Supabase if you're building modern applications that need real-time features (live collaboration, chat, notifications), PostgreSQL SQL queries, and built-in auth without Firebase's vendor lock-in. It's ideal for startups and solo devs—the free tier is genuinely useful: 500MB database, 1GB file storage, and 50K monthly auth events. The open-source architecture means you can self-host if Supabase ever becomes too expensive or unreliable. Supabase is the WRONG choice for static sites, simple blogs, or projects that don't need a database—you're overpaying for a data engine. The free tier has gotchas: projects pause after 1 week of inactivity, so it's not suitable for production apps unless you pay. Edge functions are limited (Node.js-only, limited dependencies), so if you need Python or heavy compute, look at Vercel or Lambda. Real-time subscriptions are great for user-facing features but add complexity and can get expensive at scale ($4/month per 1M realtime events).
Real-world use case
A founder built a real-time collaborative whiteboard app using Supabase's free tier: PostgreSQL for drawing data, auth for user management, and realtime subscriptions for live syncing. Development took 3 weeks because Supabase's JavaScript client made auth + database + realtime easy. Launch day: 200 beta users, freemium model (5 boards per user, pay $5/month for unlimited). Month 1 costs: $0 (free tier). Month 2: traffic exceeded free tier limits (database grew to 600MB); upgraded to Pro ($25/month). At 500 paid users ($5/month each), revenue was $2,500/month; Supabase cost was $25/month. The pricing math worked beautifully. If she'd used Firebase, vendor lock-in would've been higher, and Postgres SQL flexibility would've been lost. The real-time feature (10K concurrent users syncing) cost her an extra $200/month in realtime events by month 6, but that was still <1% of revenue.
Hidden gotchas
Supabase's free tier pauses projects after 7 days of inactivity—projects are frozen, databases reset, and cold starts hurt. Many developers are shocked to find their free project gone after a vacation. Pro tier pricing ($25/month) includes 500K realtime events; overages are $0.04 per 100K events—a popular app hits $500+ in surprise overages. Database backups on free tier are limited to the last 7 days; Pro tier gets 30 days. Restore operations aren't self-service; they require support tickets. Self-hosting Supabase is documented but complex: you need Docker, Kubernetes, and 2+ hours of setup. The authentication defaults are opinionated—if you need SAML, LDAP, or non-standard OAuth flows, you'll hit limitations. Edge functions (Deno-based) have strict limits: 10 second timeout, no native PostgreSQL connection pooling, and dependency issues (some npm packages won't work). Row-level security (RLS) is powerful but has a learning curve; misconfigured policies silently fail, returning empty rows instead of errors. Realtime subscriptions aren't designed for high-frequency updates (>100Hz); you'll hit performance cliffs. Rate limiting for APIs isn't clearly documented; high-concurrency apps might get throttled unexpectedly. Cold starts on edge functions are 1-2 seconds, much slower than Vercel.
Pricing breakdown
Supabase's free plan includes 500 MB database, 1 GB file storage, 50 MB bandwidth, and 500K Edge Function invocations. The Pro plan at $25/mo adds 8 GB database, 100 GB file storage, and 250 GB bandwidth. Beyond included limits: database is $0.125/GB, bandwidth is $0.09/GB, storage is $0.021/GB. At moderate scale (50K MAU, 20 GB database), expect $40-80/mo. The advantage: Postgres + Auth + Storage + Edge Functions bundled at roughly 60% the cost of running separate services. The cost trap: database compute is tied to your plan tier — CPU-heavy queries on the free/Pro plans hit performance ceilings.
Deep dive: PlanetScale
When to choose PlanetScale
Choose PlanetScale if you're a MySQL shop or need non-blocking schema changes without downtime. Deployments with schema migrations run asynchronously while reads and writes continue—a genuine advantage over RDS MySQL, which blocks during ALTER TABLE. The branch and pull-request workflow for schema changes is polished, making deployments safer and faster for teams doing weekly or daily releases. Ideal for MySQL-native teams scaling to high traffic. PlanetScale is wrong if you need foreign key constraints (disabled by default for horizontal scaling), you're on a tight budget (no free tier since 2024; minimum $39/month), or you need multi-region write replicas without architecture complexity. Projects that relied on PlanetScale's free tier in 2023 now have nowhere to go—Firebase or Turso become alternatives. Also wrong if you plan to migrate off MySQL later; PlanetScale's schema changes rely on disabled foreign keys, so migrating to Postgres requires rearchitecting your data model. Teams heavily invested in normalized relational schemas with FX constraints should stay on PostgreSQL.
Real-world use case
A B2B SaaS team (~8 engineers) managing a high-traffic invoice platform (2 million monthly transactions) does weekly schema deployments on PlanetScale. One Wednesday at 2pm, they added an index to a 2TB table. Historically on RDS MySQL, this 4-6 minute lock would've cost ~$1,200 in lost transactions. On PlanetScale, the index built asynchronously in 8 minutes with zero downtime. Cost: $99/month. Real tradeoff: PlanetScale recommends disabling foreign keys for sharding, so they removed them. That decision required adding application-level validation to backfill constraints—one engineer spent a week on this. They chose PlanetScale over Neon because they were MySQL-trained; switching to Postgres would've required learning a new dialect, and losing FX constraints in Postgres wasn't necessary (they handle validation in app code anyway). The benefit: zero downtime deployments cut their deployment risk and enabled faster iteration.
Hidden gotchas
Foreign keys are disabled by default, and the docs bury this critical fact. You only discover it when your INSERT fails with 'no referenced key' and realize the constraint never existed. Re-enabling them requires migrating your entire schema and application validation logic. Their connection pooling proxy ('Connect') adds 1-2 seconds to the first query in serverless functions because routing through their proxy is slow. Switching to native MySQL connection pooling bypasses Neon's schema safety features, creating a tradeoff between performance and safety. Billing is opaque: charged per 'read units' and 'write units,' but conversion rates are unclear from the dashboard. A single slow query can spike your bill 10x overnight without warning. They grandfather old customers on better rates while charging new signups 3x higher unit pricing—this disparity is undocumented. They killed the free tier in 2024, but many tutorials still reference it, misleading new developers. Multi-region setup requires paying for multiple deployments ($39 each), effectively doubling cost—not clearly stated upfront. Connection limits are lower than expected; you'll hit them at lower concurrency than on RDS.
Pricing breakdown
PlanetScale's Scaler plan starts at $39/mo for 10 GB storage, 1 billion row reads, and 10 million row writes. The Scaler Pro plan at $99/mo doubles these limits and adds SOC 2 compliance. They removed their free Hobby plan in April 2024. Row reads beyond the plan limit cost $1 per billion, writes cost $1.50 per million. The branching feature (Git-like schema management) is included in all paid plans. For a typical SaaS with moderate write volume, expect $39-99/mo. The main cost trap: write-heavy workloads (analytics ingestion, activity feeds) can blow past the included write quota quickly.
Should You Use Supabase or PlanetScale?
For most teams, Supabase is the better default: it offers full postgres with sql and is freemium (from $25/month). Choose PlanetScale instead if non-blocking schema changes matters more than free tier pauses after 1 week inactive. There is no universal winner — the right pick depends on your budget, team size, and whether you value full postgres with sql or non-blocking schema changes more.
Choose Supabase if…
- •Full Postgres with SQL
- •Built-in auth and storage
- •Open source
Choose PlanetScale if…
- •Non-blocking schema changes
- •MySQL compatibility
- •Excellent performance