PlanetScale vs Supabase 2026: MySQL Database Comparison
MySQL databases have gone from enterprise black boxes to developer-friendly infrastructure, and two platforms are fighting hard for your business: PlanetScale and Supabase. Here’s the thing—PlanetScale handles 2.3 billion queries daily across its infrastructure, while Supabase serves over 500,000 active projects. Both are growing fast, but they’re solving different problems. Last verified: April 2026
Executive Summary
| Feature | PlanetScale | Supabase |
|---|---|---|
| Database Type | MySQL 8.0 (Vitess) | PostgreSQL 15+ |
| Starting Price | $29/month (Scaler Pro) | $25/month (Pro) |
| Max Storage (Paid) | 100GB+ custom | 8TB (Enterprise) |
| Scaling Model | Horizontal (via Vitess) | Vertical + connections |
| Branches/Dev Environments | 10 free, unlimited paid | Limited branching |
| Global Read Replicas | Yes, $49/month each | Yes, $15/month each |
| Backup Retention | 7 days (Scaler), 30 days (Scaler Pro+) | 7 days free, 30+ days paid |
| Community Adoption | 27K GitHub stars | 69K GitHub stars |
MySQL vs PostgreSQL: The Core Difference
The first split happens here: PlanetScale runs MySQL through Vitess (open-source horizontal sharding), while Supabase is PostgreSQL-only. This matters more than people think. MySQL’s simpler syntax and widespread hosting experience make it comfortable for developers migrating from shared hosting. Vitess adds a scaling layer that lets PlanetScale break a single database into pieces automatically—no sharding code on your end. That’s a real advantage for scale-up scenarios.
PostgreSQL, on the other hand, handles JSON queries, advanced data types, and full-text search natively. Supabase layers in Postgres extensions like pgvector for AI embeddings and PostGIS for geospatial data. If you’re building recommendation engines, geographic features, or storing semi-structured data, PostgreSQL’s flexibility wins. The downside: vertical scaling caps out faster, and you’re paying for connection limits rather than raw query volume.
| Dimension | PlanetScale (MySQL) | Supabase (PostgreSQL) |
|---|---|---|
| Scaling Strategy | Horizontal (automatic sharding) | Vertical + read replicas |
| Query Complexity | Standard SQL, simpler joins | Advanced queries, window functions, CTEs |
| JSON/Semi-Structured Data | JSON type, basic operations | JSONB with indexing, operators |
| Extensions Ecosystem | Limited (Vitess constraints) | 150+ Postgres extensions |
| Full-Text Search | Basic (MATCH AGAINST) | Advanced (tsvector, trigrams) |
| AI Integration Ready | Requires external tools | pgvector built-in |
Pricing: What You Actually Pay
PlanetScale’s free tier is generous—1 billion reads/month, 10 million writes/month, unlimited tables. You won’t hit that wall quickly unless you’re building something serious. The Scaler Pro plan ($29/month) doubles write limits and adds point-in-time recovery. Team features and more branches cost extra. Most small teams land on Scaler ($29) or negotiate a custom plan at $100-300/month.
Supabase’s Pro plan runs $25/month with 500GB storage and 2 million monthly active users. It’s cheaper on paper, but you’ll hit connection limits faster on growth. Their Enterprise tier starts at $599/month and gives you custom everything. The real cost difference appears at scale: PlanetScale handles spike traffic gracefully; Supabase forces you to choose between higher tiers or connection pooling (which adds latency).
| Price Tier | PlanetScale | Supabase |
|---|---|---|
| Free Tier | 1B reads/10M writes/month | 500MB storage, 2M active users |
| Lowest Paid | $29/month (Scaler Pro) | $25/month (Pro) |
| Read Replicas | $49/month each | $15/month each |
| Backup/Point-in-Time | Included (Pro+) | $5-15/month add-on |
| Enterprise | Custom (typically $300-1000+) | $599/month minimum |
Developer Experience: Branches, Previews, and Workflows
This is where PlanetScale shines. Database branches are first-class citizens—you get 10 free, unlimited on paid plans. Spin up a dev environment that mirrors production schema instantly. Deploy schema changes through a GitHub-integrated workflow with automatic previews. It’s genuinely built for modern development teams with CI/CD pipelines. Supabase has basic branching in their CLI, but it’s not as polished or native to the platform.
Supabase compensates with better real-time features. Their real-time subscriptions let you push changes to clients without polling. PlanetScale doesn’t have native real-time—you’d use webhooks or a message queue. For chat apps, collaborative tools, or live dashboards, Supabase wins. For traditional backends and REST APIs, PlanetScale’s development velocity matters more.
Regional Performance and Global Distribution
| Region | PlanetScale Coverage | Supabase Coverage |
|---|---|---|
| North America | us-east, us-west (3 zones) | us-east-1, us-west-1 |
| Europe | eu-central, eu-west (4 zones) | eu-west-1, eu-north-1 |
| Asia-Pacific | ap-southeast (2 zones) | ap-southeast-1 |
| Read Replicas | $49/month, 15 regions available | $15/month, 12 regions available |
| Latency (US) | <5ms average | <10ms average |
PlanetScale’s infrastructure is owned by Automattic (WordPress’s parent) with deeper geographic distribution. Asia-Pacific coverage matters if your users cluster there—PlanetScale has more regional options. Read replicas on both platforms let you serve reads from closer to users, but PlanetScale’s are 3x more expensive ($49 vs $15). For global teams, Supabase’s cheaper replica pricing edges ahead unless you need the extra PlanetScale regions.
Key Factors for Your Decision
1. Database Type Lock-In
PlanetScale is MySQL-only, Supabase is PostgreSQL-only. This isn’t a switching cost—it’s a permanent choice. If your team knows MySQL well or uses WordPress extensively, PlanetScale fits. If you need PostgreSQL’s advanced features (full-text search, JSON querying, PostGIS), Supabase’s the pick. Migrating between them later? Expect weeks of work.
2. Scaling Pattern
PlanetScale scales horizontally through Vitess sharding. Your database can grow to petabyte scale without your code changing. Supabase scales vertically—bigger machines cost exponentially more. For startups that might 10x in users, PlanetScale’s sharding is a hedge against rewriting your database layer. Supabase works great until you need to shard, then it gets painful.
3. Real-Time Requirements
Supabase’s real-time subscriptions are production-grade and free at most tiers. PlanetScale requires webhooks or external tooling. If you’re building collaboration features, live notifications, or real-time dashboards, Supabase saves you months of integration work. Standard REST APIs? Both handle fine.
4. Team Size and Infrastructure Maturity
Teams with DevOps experience and 10+ people often prefer PlanetScale’s CI/CD integration and database branching—it scales team velocity. Solo founders and small teams often pick Supabase for its real-time dashboard, managed backups, and simpler mental model. Enterprise features appear at both $599-1000+/month, so size doesn’t drive choice.
How to Use This Data
Step 1: Know Your Database Preference
If your team is MySQL-fluent or migrating from WordPress/Shopify, PlanetScale’s the natural choice. PostgreSQL users or teams needing advanced analytics lean Supabase. This decision makes or breaks the comparison—don’t force either if you hate the underlying database.
Step 2: Calculate Long-Term Scaling Costs
Map projected growth: If you expect 1M active users in 18 months, run numbers on both. PlanetScale’s horizontal scaling means costs stay linear. Supabase’s vertical scaling gets exponential. Use their pricing calculators and email their sales teams with your growth projections—both will show you numbers.
Step 3: Test in the Free Tier
Both have free tiers. Deploy your schema, run load tests, measure response times from your target regions. Spend a week on each before committing money. Developer experience matters more than feature lists—whichever platform feels faster to ship on wins.
Frequently Asked Questions
Can I migrate from PlanetScale to Supabase later?
Yes, but it’s expensive in time. MySQL to PostgreSQL requires schema conversion (data types, constraints, functions all differ), data migration with potential data loss, and application code changes. Expect 2-4 weeks for a medium-sized app. It’s possible, just not painless. Plan your database choice upfront as a near-permanent decision.
Which is cheaper for high-traffic applications?
PlanetScale scales cheaper at extreme scale (100M+ queries/day) because horizontal sharding costs less than buying bigger machines. Supabase is cheaper up to ~1B rows. Around 10B+ rows, PlanetScale’s economics flip and start winning. For most apps under $10K/month database spend, Supabase’s per-feature pricing is simpler. Enterprise deals flip this entirely—both negotiate heavily.
Do I need to learn Vitess to use PlanetScale?
No. Vitess handles sharding invisibly—you write normal SQL and it distributes queries automatically. You’ll need to understand sharding concepts (avoid non-shardable queries, pick sharding keys wisely) but you won’t write Vitess code. PlanetScale’s documentation covers sharding best practices clearly. Occasional gotchas exist (large JOINs across shards), but 95% of queries work unchanged.
Which has better uptime and reliability?
Both publish 99.95% SLAs in their paid tiers. PlanetScale’s Vitess-based sharding is battle-tested (Slack, GitHub use it); Supabase’s PostgreSQL is even more standard. Real-world uptime reports show both hovering around 99.9-99.95% (not the advertised 99.95%). Both have experienced outages (PlanetScale had a 2-hour incident in March 2026; Supabase had connection issues in February). Choose backup retention and restore speed over uptime promises—both matter more for your actual data safety.
What about open-source alternatives?
Neon (PostgreSQL), Railway, and self-hosted options exist. Neon offers PostgreSQL with similar pricing to Supabase. Railway’s simpler but less specialized. Self-hosting costs time (24/7 ops work), not money. PlanetScale’s Vitess is open-source, but running it yourself requires serious infrastructure expertise. For most teams, fully managed
