Supabase vs PlanetScale (2026): Which is Better?

TLDR

Supabase (8.4/10) and PlanetScale (7.4/10) are both serious managed databases, but they solve different problems. Supabase is a full Postgres backend with auth, storage, realtime, and edge functions bundled in. PlanetScale is a specialized MySQL platform built on Vitess for horizontal scale and safe schema changes. Choose Supabase for an all-in-one backend. Choose PlanetScale for MySQL at extreme scale.

Platform vs Specialist

This is the central decision. Supabase is a platform. One signup gets you a Postgres database plus authentication, file storage, realtime subscriptions, and edge functions, so you avoid stitching separate services together. For startups and AI builders, that consolidation is the main draw.

PlanetScale is a specialist. It gives you a world-class database and expects you to bring the rest of your stack. There is no built-in auth or storage layer. If you want best-in-class MySQL and already have your auth and backend sorted, that focus is a strength. If you want fewer moving parts, Supabase covers more ground out of the box.

Database Engine

Supabase runs full PostgreSQL with no vendor lock-in and a genuine open-source commitment. Postgres brings a broad extension ecosystem, advanced SQL features, and pgvector for storing AI embeddings directly in the database. That makes Supabase a natural fit for AI-powered apps, and it is the default for most modern frameworks and ORMs.

PlanetScale is built on MySQL via Vitess, the same technology proven at YouTube scale. Our review notes the MySQL-only constraint as a real limitation, and foreign key behavior differs from standard MySQL. The payoff is sharding: Vitess can distribute rows across many MySQL instances when you reach hundreds of millions of rows and thousands of writes per second. Most apps never get there, but if you will, this matters.

Schema Changes and Branching

PlanetScale’s signature feature is non-blocking schema changes. You alter production schemas without table locks or downtime, and database branching maps onto Git workflows so changes get reviewed and merged like code. For teams shipping frequently, this safety is genuinely valuable and remains PlanetScale’s strongest selling point.

Supabase has narrowed this gap. It added database branching on paid plans, giving isolated environments per Git branch. It is newer and less battle-tested than PlanetScale’s approach, but it exists now, which weakens what used to be a clear PlanetScale advantage.

Pricing

Supabase keeps a useful free tier: 500MB database, 1GB storage, 50K monthly active users, and 500K edge function invocations, though projects pause after 7 days of inactivity. Pro is $25/month plus usage for 8GB database, 100K MAUs, and 100GB storage. Our review flags the honest catch: real production cost lands closer to $125/month with proper compute, and the jump from Pro to the $599/month Team plan is steep.

PlanetScale’s free tier per our review offers 5GB storage, 1 billion monthly row reads, and 10 million writes. The Scaler plan is $39/month for 25GB and higher limits, and Scaler Pro is $99/month for 50GB plus multi-region reads. The per-read pricing model penalizes read-heavy analytics workloads, and multi-region replication requires the premium tier. Neither is truly cheap at production scale; budget accordingly.

Developer Experience and Docs

Day-to-day developer experience often decides which tool a team actually sticks with. Supabase invests heavily here. Our review singled out its documentation and polished dashboard, and the auto-generated REST and GraphQL APIs plus client libraries mean you can query your database from a frontend within minutes. The local development setup with the Supabase CLI mirrors production closely. For solo builders and small teams, that smooth on-ramp is a big part of why Supabase spread so fast, now past 1.7 million registered developers and 100,000 GitHub stars.

PlanetScale’s developer experience centers on the database workflow itself. Its CLI, deploy requests, and branching model feel familiar to anyone who works in Git, and the query performance analytics automatically surface slow queries and suggest optimizations. That insight is genuinely useful for teams tuning a busy MySQL database. The tradeoff is that you assemble the rest of the developer experience yourself, since there is no bundled API layer or client SDK generation. Supabase gives you more out of the box; PlanetScale gives you sharper tooling for the database alone.

Scaling and Reliability

The scaling philosophies diverge clearly. Supabase scales vertically. You pick a compute tier from nano up to 16XL and beyond, then add read replicas in other regions when you need them. For the vast majority of apps, including ones with millions of rows and heavy traffic, vertical scaling plus replicas is plenty, and it keeps the mental model simple.

PlanetScale scales horizontally through Vitess sharding, distributing rows across multiple MySQL instances by a sharding key. This is the architecture that ran YouTube, and it matters once you reach hundreds of millions of rows and thousands of writes per second. Most teams never hit that ceiling, so for them Supabase’s simpler model is an advantage, not a limitation. But if you are genuinely planning for hyperscale write throughput, PlanetScale’s sharding is a capability Supabase does not match. Be honest about which camp you are in before choosing.

When to Choose Supabase

• You want Postgres plus auth, storage, realtime, and edge functions in one platform.
• You are building AI features and want pgvector in your database.
• You value open source and no vendor lock-in.
• You are a startup that wants to ship a full backend without assembling services.

When to Choose PlanetScale

• You need MySQL specifically and at horizontal, sharded scale.
• Non-blocking schema changes and Git-style branching are critical to your workflow.
• You ship database changes frequently and need zero-downtime migrations.
• You already have auth and backend services handled elsewhere.

The Bottom Line

Supabase wins for the majority of teams, and the 8.4 against 7.4 backs that up. It has become the default backend for modern web development by giving you full Postgres power plus the surrounding services most apps need, with strong docs and a polished developer experience. For AI builders, pgvector seals it.

PlanetScale is not the loser so much as the specialist. If MySQL is a hard requirement, if you are heading toward sharded scale, or if zero-downtime schema changes are central to how you ship, it remains the best MySQL experience available. For everyone else building fresh, Supabase is the stronger starting point.