PlanetScale vs Supabase
Side-by-side comparison — pricing, features, ratings, use cases. Find which Database fits you best.
💰 Pricing
📋 Assessment
💪 Strengths
- Non-blocking schema changes mean you can add columns or indexes on large tables without downtime or locks — a major improvement over standard MySQL.
- Database branching works like Git for your data, enabling true dev/prod parity and isolated environments for every pull request.
- Built on Vitess, it provides automatic sharding and horizontal scaling to handle massive write and read loads without manual partitioning.
- Serverless model removes server management, version patching, and capacity planning, letting developers focus on application code.
- Highly compatible with normal MySQL wire protocol, so existing ORMs and SQL clients generally work with little to no modification.
⚠ Watch out for
- Not all MySQL features apply to sharded deployments; advanced joins, subqueries, and transactions may be restricted when data is distributed.
- Pricing can be unpredictable when traffic spikes — usage-based components like data transfer and row reads may lead to unexpected bills.
- Vendor lock-in is possible: branching, deploy workflows, and Vitess-specific behaviors won't transfer directly to a traditional MySQL instance.
- Latency can be higher than self-hosted MySQL if your application runs far from the database region or uses serverless connections.
- The plan structure and free tier are subject to change — after GitHub's acquisition, some legacy pricing and features may be deprecated.
🎯 Best for
Developers and startups building cloud-native, serverless, or event-driven applications that want a fully managed, highly scalable MySQL database with excellent development workflow tooling.
🚫 Who should skip
Teams that need complete MySQL feature parity, require on-premises hosting, or avoid cloud lock-in should skip PlanetScale — a traditional RDS instance or PostgreSQL with managed extensions may be better.
📚 Learning curve
Moderate — standard MySQL knowledge transfers well, but you must learn PlanetScale's branching, deploy request, and schema diff workflows to fully benefit from the platform.
🧑⚖️ Verdict
PlanetScale is an excellent choice for teams that need MySQL at scale and want a development workflow as modern as their
💰 Pricing
📋 Assessment
💪 Strengths
- Uses full PostgreSQL, giving you real relational database features like joins, foreign keys, views, and SQL functions instead of a NoSQL workaround.
- Includes 7 core services in one platform—database, auth, storage, realtime, edge functions, vector embeddings, and APIs—so you avoid stitching lots of backends together.
- Built-in row-level security and custom access policies let you enforce permissions directly in Postgres, which is harder to do with many BaaS providers.
- Strong developer experience with a clean dashboard, SQL editor, local CLI, and TypeScript-friendly SDKs.
- Open-source and can be self-hosted if you eventually need full infrastructure control or want to leave a hosted platform.
⚠ Watch out for
- Free tier projects pause after 7 days of inactivity, which can break demo apps or forgotten services until you log in.
- Realtime features are not as mature or configurable as dedicated services like Ably or Pusher, especially at scale.
- Auth system lacks some advanced multi-tenant and enterprise SSO features that Firebases or Auth0 offer without custom work.
- Pricing can grow unpredictably with egress, file storage, and database size, and some features like custom domains and high availability are locked behind higher tiers.
- You still need a good understanding of PostgreSQL and SQL to build complex apps; it is not as beginner-friendly as pure-document NoSQL backends.
🎯 Best for
Developers and early-stage startups who want an integrated PostgreSQL backend with auth, storage, and realtime features and prefer SQL over NoSQL.
🚫 Who should skip
Teams that want the maturity and enterprise support of Firebase/Google Cloud, or non-developers who do not want to touch SQL and relational modeling.
📚 Learning curve
Moderate — if you know SQL and basic REST, you'll be productive quickly, but row-level security, realtime subscriptions, and edge functions take time to master.
🧑⚖️ Verdict
Supabase is an excellent choice for developers who want the power of PostgreSQL with the convenience of an integrated Ba
📊 Use Case Suitability
Higher score = better fit. Scores from editorial review.
🧭 Which One Should You Pick?
Choose PlanetScale if...
- You are: Developers and startups building cloud-native, serverless, or event-driven applications that want a fully managed, highl
- 👍 Non-blocking schema changes mean you can add columns or indexes on large tables without downtime or
- 👍 Database branching works like Git for your data, enabling true dev/prod parity and isolated environm
- 👍 Built on Vitess, it provides automatic sharding and horizontal scaling to handle massive write and r
- 💰 From $29/mo
- ⚠ Trade-off: Not all MySQL features apply to sharded deployments; advanced joins, subqueries,
Choose Supabase if...
- You are: Developers and early-stage startups who want an integrated PostgreSQL backend with auth, storage, and realtime features
- 👍 Uses full PostgreSQL, giving you real relational database features like joins, foreign keys, views,
- 👍 Includes 7 core services in one platform—database, auth, storage, realtime, edge functions, vector e
- 👍 Built-in row-level security and custom access policies let you enforce permissions directly in Postg
- 💰 From $25/mo
- ⚠ Trade-off: Free tier projects pause after 7 days of inactivity, which can break demo apps o
❓ Frequently Asked Questions
How much does PlanetScale cost?
PlanetScale uses a tiered subscription with usage-based add-ons (storage, row reads, data transfer). It previously had a free Hobby tier and paid plans starting around $39/month, but after GitHub acquired PlanetScale, pricing may have changed — check planetscale.com for current plans.
What are the main limitations compared to standard MySQL?
PlanetScale's distributed nature means certain MySQL features — like some multi-table joins with non-sharded keys, or features dependent on session-level variables — can be limited. Forconsistent raw MySQL power, a traditional RDS may be more suitable.
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