Supabase vs PlanetScale — which database wins for your brief, in 2026
Two serverless databases, side by side. Supabase is postgres-based platform: database, auth, storage, edge functions, realtime, vectors. open source. PlanetScale is mysql-compatible serverless db built on vitess. reintroduced free tier in 2024 after a controversial removal. The verdict, the criteria, and the honest take below.
ALL DB COMPARISONS →Verdict in one paragraph
Different shapes entirely. Supabase is a Postgres-based platform with auth + storage + functions bundled. PlanetScale is a serverless MySQL database. For greenfield apps that want full-stack platform, Supabase. For MySQL-shaped workloads needing Vitess-grade scale, PlanetScale. The actual head-to-head is rare; teams usually decide on Postgres-vs-MySQL first.
Score across the criteria: Supabase 4 · PlanetScale 1
Side by side
Decision criteria
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Which is better as a full-stack platform?
Supabase
Supabase bundles database + auth + storage + functions. PlanetScale is database-only.
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Which has horizontal scale at YouTube grade?
PlanetScale
PlanetScale's Vitess sharding can scale beyond what Supabase Postgres handles before vertical scaling becomes the constraint.
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Which has the better SQL dialect?
Supabase
Postgres is more advanced than MySQL in nearly every dimension that matters for app development.
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Which has the better realtime story?
Supabase
Supabase Realtime is native. PlanetScale does not bundle realtime.
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Which has the bigger free tier?
Supabase
Supabase free tier is generous and stable. PlanetScale's pricing has been turbulent.
What Supabase is best for
- Full-stack apps that need database + auth + storage + functions in one platform
- Postgres + RLS workloads where row-level security is the primary access control
- Vector search + RAG apps using pgvector inside the same database
- Migrating off Firebase to a Postgres-shape data model
Read the full Supabase entry: /serverless-databases/supabase/
What PlanetScale is best for
- MySQL-compatible workloads needing horizontal scale
- Teams used to Vitess sharding patterns
- Apps with schema migrations as a deployment primitive
Read the full PlanetScale entry: /serverless-databases/planetscale/
The database choice is the easy half — your migration is the hard one
The hard half is migrating your existing data without losing rows, designing a schema your future-self will not curse, and getting realtime / vector / multi-region right when those matter. The 30-min call is where you describe your stack, your scale, your data shape; I tell you whether Supabase or PlanetScale (or something else) is your fit.