Supabase vs PlanetScale: Choosing the Right Managed Database

What You’re Actually Choosing Between

Picking a managed database isn’t just a technical decision. It shapes how you write migrations, how you think about scaling, what your auth setup looks like, and what your monthly bill is. Supabase and PlanetScale are both managed database platforms that handle the operational overhead most developers don’t want — backups, uptime, patching, provisioning. But they do it in very different ways, and they’re built around different databases entirely.

This comparison covers Supabase and PlanetScale across the areas that actually matter: SQL compatibility, schema workflows, scaling, pricing, developer experience, and ecosystem. By the end, you’ll have a clear picture of which one fits your project.

What Supabase Is

Supabase is an open-source platform built on top of PostgreSQL. The core product is a hosted Postgres database with a set of services layered on top: authentication, file storage, edge functions, and real-time subscriptions. It positions itself as an alternative to Firebase — but with a relational, SQL-first database instead of a document store.

If you’ve used Firebase and wanted a proper SQL database instead of Firestore’s JSON-ish document model, Supabase is usually the next thing people try. (For a full breakdown of that comparison, see Supabase vs Firebase: Which Backend Should You Build On?.)

The key features:

PostgreSQL, with full access to extensions — including pgvector for vector search, PostGIS for geo queries, and pg_cron for scheduled jobs
Auto-generated REST and GraphQL APIs via PostgREST, built from your schema
Row Level Security (RLS) for fine-grained access control at the database layer
Auth with support for email/password, magic links, OAuth providers, and phone auth
Storage for files and objects, with access policies tied into RLS
Edge Functions via Deno Deploy
Realtime subscriptions on database changes via WebSockets
Branching for isolated database environments on paid plans

Supabase is open source, which means you can self-host the whole stack if you need to. The managed cloud product runs on AWS.

What PlanetScale Is

PlanetScale is a managed MySQL-compatible database built on Vitess — the same sharding middleware that powers MySQL at YouTube and GitHub scale. It was founded by some of the engineers who built Vitess at Google, and the architecture reflects that: it’s designed for horizontal scale from the start.

The headline feature is its Git-like schema workflow. Instead of running ALTER TABLE directly against your production database, you create a database branch, make your schema changes there, and open a “deploy request” — similar to a pull request. PlanetScale applies the migration non-blocking, so you don’t lock tables or take downtime during schema changes.

Key features:

MySQL-compatible — works with any MySQL driver, ORM, or tool
Vitess under the hood for connection pooling and horizontal sharding
Branching and deploy requests for schema migrations without downtime
Non-blocking schema changes — no table locks
Query insights and performance analytics built in
Prisma Boost for query caching (on higher tiers)
Global routing for reduced latency across regions

One important caveat: PlanetScale does not enforce foreign key constraints at the database level. This is a Vitess limitation. You can model foreign key relationships, but the constraint is enforced at the application layer, not the database. For some teams this is a dealbreaker. For others, it doesn’t matter.

Also worth noting: PlanetScale removed their free Hobby tier in April 2024, which caused significant backlash in the developer community. Their paid plans now start at $39/month. This is one of the most common reasons developers switched away from PlanetScale after that change.

Head-to-Head: How They Compare

Database Engine

This is the most fundamental difference. Supabase gives you PostgreSQL. PlanetScale gives you MySQL (via Vitess).

If you’re starting fresh, Postgres is generally the more capable engine. It has a broader extension ecosystem, better support for advanced SQL features (window functions, CTEs, JSON operators, full-text search), and is the default choice for most modern frameworks and ORMs. The pgvector extension is increasingly important for AI-powered applications — it lets you store and query vector embeddings directly in your database, which matters if you’re building anything that involves retrieval-augmented generation or semantic search.

MySQL is simpler, more widely known among backend developers with certain backgrounds, and has an enormous ecosystem of tooling. But if you’re evaluating PlanetScale purely on database engine, you’re picking MySQL because of what Vitess adds on top — specifically the scaling architecture and the schema workflow.

If you need: Full SQL compliance, extensions, JSON support, vector search → Supabase/Postgres
If you need: MySQL compatibility with horizontal sharding → PlanetScale

Schema Migrations

This is where PlanetScale genuinely stands out. The branching workflow is well-designed and solves a real problem: how do you safely change your database schema in production without table locks or downtime?

With PlanetScale:

Create a branch off your production database
Make schema changes on the branch
Open a deploy request
PlanetScale applies the migration non-blocking using shadow tables and cutover

It’s genuinely elegant. And it builds in a review process — someone else can approve the deploy request before it runs.

Supabase takes a more traditional approach. You run migrations from your local environment (typically via the Supabase CLI), and they apply directly. More recently, Supabase added database branching on paid plans, which gives you isolated environments per git branch. But the schema migration tooling isn’t as opinionated as PlanetScale’s deploy request workflow.

If your team ships schema changes frequently and you’ve been burned by migration downtime before, PlanetScale’s approach is meaningfully better out of the box.

Winner: PlanetScale for schema safety and workflow; Supabase for flexibility and familiarity.

Scaling

Both platforms handle managed scaling, but they scale differently.

Supabase scales vertically. You pick a compute tier (from nano to 16XL and beyond), and you can add read replicas in additional regions. This is the traditional PostgreSQL scaling model. Supabase’s connection pooler (PgBouncer, now migrating to Supavisor) handles the connection management. For the vast majority of applications — including ones with millions of rows and heavy traffic — vertical scaling with read replicas is entirely sufficient.

PlanetScale scales horizontally via Vitess. Vitess can shard your database across multiple MySQL instances, distributing rows across shards based on a sharding key. This is how YouTube ran MySQL at enormous scale. If you’re talking about hundreds of millions of rows and thousands of writes per second, Vitess sharding starts to matter.

Practically, for most applications below hyper-scale, both platforms scale more than enough. The question is which scaling model fits your DBA team’s mental model — or if you’re a solo developer, which one you’re likely to outgrow first.

For most apps: Both are fine. Supabase’s model is simpler to reason about. PlanetScale’s ceiling is higher but you’ll rarely hit it.

Pricing

This is where context matters.

Supabase:

Free tier: 500MB database, 2 projects, 50,000 monthly active users for auth, 1GB file storage. Enough to build and ship a real project.
Pro tier: $25/month per project. 8GB database, daily backups, point-in-time recovery, email support.
Team tier: $599/month. More compute, advanced security, priority support.
Enterprise: Custom.
Compute add-ons: From ~$10/month (nano) up to hundreds per month for large instances.

PlanetScale:

No free tier (removed April 2024)
Scaler: $39/month — 10GB storage, 1 billion row reads/month, 10M row writes/month
Scaler Pro: $79/month — 10GB storage, unlimited reads/writes, more connections
Team: Custom pricing
Enterprise: Custom

The pricing gap is stark. Supabase offers a real free tier and a $25 starting price. PlanetScale starts at $39/month with no free option. For developers building side projects, prototypes, or early-stage apps, this alone is often the deciding factor.

That said, PlanetScale’s row read/write pricing model is worth understanding. On the Scaler plan, heavy read workloads can get expensive if you exceed the included quota. Supabase charges for compute tier but not individual row operations.

Winner on price: Supabase, clearly.

Developer Experience

Both platforms have invested heavily in DX, and both are genuinely good. But they feel different.

Supabase DX highlights:

Clean dashboard with a built-in SQL editor, table editor, and auth management
Auto-generated TypeScript types from your schema (supabase gen types typescript)
CLI-first workflow with local development via Docker
Good documentation, active community
Integrates naturally with Next.js, Remix, SvelteKit, and most modern frameworks
Lots of starter templates and examples

PlanetScale DX highlights:

Clean, modern dashboard
Query insights and slow query analysis built in
CLI is solid — pscale handles branching, connecting, and deploying
Good Prisma integration
Non-blocking deploys are impressive in practice the first time you see them

For teams coming from a Firebase background or building on modern JavaScript frameworks, Supabase tends to feel more integrated. The auth + database + storage combo means you’re not wiring together multiple services. PlanetScale is a database product — it’s excellent at being a database, but you’re responsible for auth, storage, and everything else.

If you’re building a full-stack app from scratch and you want a backend that handles authentication, database, and file storage in one platform, Supabase is more batteries-included. If you already have auth and just need a better MySQL database with a clean workflow, PlanetScale fits in more naturally.

This distinction matters a lot when you’re working with AI app builders like Bolt, Lovable, or Replit — those tools often have opinions about which backend services they connect to, and Supabase has broader integration support across that ecosystem.

SQL Compatibility

Supabase gives you full PostgreSQL. If SQL feature exists in Postgres, you can use it. Window functions, recursive CTEs, JSONB operators, full-text search, LATERAL joins — all available. You can also install extensions: uuid-ossp, pgcrypto, pg_stat_statements, pgvector, PostGIS, pgjwt, and many more.

The pgvector extension is particularly relevant right now. If you’re building AI applications that need to store and query embeddings alongside your relational data, having vector database capabilities built into the same Postgres instance is a real advantage. You don’t need a separate vector store.

PlanetScale is MySQL-compatible with some limitations imposed by Vitess:

No foreign key constraints enforced at the database level
Limited support for certain DDL operations
MySQL’s SQL dialect, which lacks some PostgreSQL features

For standard CRUD applications, MySQL’s limitations rarely surface. But if you’re doing complex analytical queries, using advanced SQL features, or want extensions, Postgres wins.

Ecosystem and Integrations

Supabase integrates with:

Vercel, Netlify, and similar deployment platforms (often officially supported)
Prisma, Drizzle, and other ORMs
Next.js, Nuxt, SvelteKit, Remix — with official SDKs
Expo and React Native
Python clients for data science workflows

Supabase also integrates with AI coding tools. If you’ve used tools built around AI-assisted full-stack development, you’ll notice Supabase shows up as the default or recommended database more often than PlanetScale.

PlanetScale integrates with:

Any MySQL driver or ORM
Prisma (they built strong tooling around Prisma + PlanetScale specifically)
Rails, Django, Laravel — popular backend frameworks
Vercel and other serverless platforms

PlanetScale’s Prisma Boost is a caching layer that can significantly reduce database load for read-heavy applications. If your ORM of choice is Prisma and your workload is read-heavy, that’s a meaningful differentiator.

Comparison Table

Feature	Supabase	PlanetScale
Database	PostgreSQL	MySQL (Vitess)
Free tier	Yes (500MB, 2 projects)	No (removed April 2024)
Starting paid price	$25/month	$39/month
Auth included	Yes	No
File storage included	Yes	No
Edge functions	Yes (Deno)	No
Real-time subscriptions	Yes	No
Schema migrations	CLI-based + branching (paid)	Branching + deploy requests
Non-blocking migrations	Partial	Yes (core feature)
Horizontal sharding	No	Yes (via Vitess)
Foreign key enforcement	Yes	No (application-level only)
Vector search	Yes (pgvector)	No
Self-hostable	Yes	No
Query analytics	Basic	Built-in, detailed
Open source	Yes	No

Who Should Pick Supabase

Supabase is the right choice if:

You want a full backend, not just a database. Auth, storage, edge functions, and real-time are included. You’re not cobbling together services.
You’re building an early-stage or side project. The free tier is real and generous enough to ship.
You need PostgreSQL features. Extensions, advanced SQL, JSONB, vector search — Postgres is the more capable engine.
Your team prefers PostgreSQL. If your team already knows Postgres, there’s no reason to switch to MySQL.
You’re building AI-adjacent applications. pgvector lets you run vector similarity search alongside your relational data without a separate vector database.
You want to self-host. Supabase is open source. You can run the entire stack yourself.
You’re working with modern JavaScript frameworks. The TypeScript SDK and framework-specific integrations are excellent.

Who Should Pick PlanetScale

PlanetScale is the right choice if:

You’re already on MySQL. If your existing stack is MySQL and migration isn’t an option, PlanetScale is the best managed MySQL product available.
Schema safety is a top concern. If your team ships migrations frequently and you need a formal review and deploy workflow, PlanetScale’s deploy requests are genuinely superior.
You’re building for extreme scale. Vitess’s horizontal sharding architecture handles workloads that would require significant effort to manage with Postgres.
You’re using Prisma heavily. PlanetScale’s Prisma integration is strong, and Prisma Boost adds meaningful caching.
Your team has MySQL expertise. Don’t underestimate the value of familiarity.

Note: If budget is a constraint or you need a free tier for development and testing, PlanetScale is no longer viable for that use case since the Hobby plan was discontinued.

Where Remy Fits

If you’re evaluating Supabase and PlanetScale, there’s a good chance you’re building a full-stack application and thinking about which backend infrastructure to commit to. That’s the right instinct — database choice matters and is hard to change later.

But there’s another way to approach this problem. Remy is a spec-driven development tool that compiles annotated markdown specs into full-stack apps — backend, database, auth, frontend, deployment, everything. You describe what your application does, and Remy builds it.

Remy uses SQLite (WAL-journalled, with automatic schema migrations on deploy) as its database layer. It’s not Supabase or PlanetScale, but the approach sidesteps the underlying decision entirely: you write a spec, Remy handles the data model, migrations run automatically when you deploy, and you can inspect the generated schema and queries directly.

For developers who find themselves spending more time evaluating infrastructure than building product, this matters. The ai agent database disaster risk is also something Remy’s spec-driven approach helps mitigate — the spec is the source of truth, schema changes are deliberate and tracked, and the database model is always in sync with what the spec describes.

If you’re starting a new project and the database choice feels like it’s blocking you, try Remy at mindstudio.ai/remy — it compiles to a real backend with a real database and you can inspect every artifact it generates.

Frequently Asked Questions

Is Supabase or PlanetScale better for side projects?

Supabase. PlanetScale no longer has a free tier — their paid plans start at $39/month. Supabase’s free tier includes 500MB of database storage, 2 projects, and enough auth and storage quota to ship a real product. For side projects, early-stage products, and anything where cost matters, Supabase is the practical choice.

Does PlanetScale support foreign keys?

Not at the database level. Because PlanetScale is built on Vitess, which is designed for horizontal sharding, it doesn’t enforce foreign key constraints at the database layer. You can model relationships in your ORM, but the constraint exists in application code, not the database. This is fine for many use cases but can cause data integrity issues if you rely on the database to enforce relational constraints. Supabase/PostgreSQL enforces foreign keys natively.

Can I use Supabase with an existing PostgreSQL database?

Not directly — Supabase manages its own PostgreSQL instances. You can migrate data from an existing Postgres database into Supabase, but you can’t point Supabase at a Postgres instance you already run. If you need to keep an existing Postgres database, you’d use Supabase’s services (auth, storage) connected to it via custom configuration, though that’s a more complex setup. For new projects, Supabase gives you the Postgres instance as part of the package.

What happened to PlanetScale’s free tier?

PlanetScale removed its Hobby plan in April 2024, eliminating the free tier. This was met with significant developer frustration, as many had built side projects and small apps on the free plan. The move reflected a shift toward enterprise customers. If you had a project on the Hobby tier, you were either migrated to a paid plan or needed to export your data. Today, PlanetScale’s lowest tier is the Scaler plan at $39/month.

Does Supabase support vector search for AI applications?

Yes. Supabase supports the pgvector extension, which lets you store vector embeddings as a column type in PostgreSQL and run similarity search queries using cosine distance, inner product, or L2 distance. This means you can keep your application data and your AI embeddings in the same database. If you’re building a RAG pipeline or any application that needs semantic search, Supabase’s pgvector support is a meaningful advantage over PlanetScale, which has no equivalent.

Which is easier to migrate away from if needed?

Supabase is easier. It’s standard PostgreSQL, so any tool that can read Postgres can read your Supabase database. Migrations out are straightforward using pg_dump. Supabase is also open source, so you can self-host the same stack. PlanetScale uses MySQL with Vitess-specific behavior, and migrating away means dealing with MySQL export formats and the absence of foreign key constraints. Neither is a nightmare, but Postgres portability is broadly better.

Key Takeaways

Supabase is the stronger default for most projects — full PostgreSQL, generous free tier, auth/storage/edge functions included, vector search support, open source.
PlanetScale has a genuinely superior schema migration workflow, especially for teams that ship migrations frequently and need non-blocking deploys.
PlanetScale’s pricing changed significantly in 2024. The free tier is gone. Plans start at $39/month, making it less viable for personal projects.
Database engine matters. Postgres (Supabase) is more capable and extensible; MySQL via Vitess (PlanetScale) offers better horizontal shaling at extreme scale.
Supabase is more batteries-included. PlanetScale is a database product only — you handle auth, storage, and everything else yourself.
If you’d rather skip the infrastructure decision entirely, Remy compiles specs into full-stack apps with real databases, auth, and deployment — without requiring you to choose a managed database platform upfront.