PlanetScale vs Supabase (2026)

MySQL at scale or Postgres-plus-BaaS? Chrome-verified pricing for PlanetScale vs Supabase, free-tier differences, lock-in risks, and which database to pick in 2026.

TL;DR

Choose PlanetScale if you specifically need MySQL, high-concurrency throughput via Vitess sharding, and true zero-downtime schema changes — and you’re willing to pay $39/month from day one. Choose Supabase if you want Postgres plus a batteries-included BaaS (auth, storage, realtime, edge functions, vector) on a free tier that actually works.

These are different shapes of product: PlanetScale is a focused managed database; Supabase is a full Postgres-backed application platform. Pick based on whether you want “just the database” (PlanetScale) or “the whole backend” (Supabase).

Detailed comparison

When to choose PlanetScale

• You need MySQL (existing team skills, app is already MySQL, ORM demands it).
• You’re operating at scale where a single Postgres writer becomes the bottleneck — PlanetScale’s Vitess sharding is designed for high-concurrency write workloads.
• Schema migrations are a constant source of downtime in your current stack. PlanetScale’s Branch + Deploy Request flow (review schema changes like a PR) is genuinely best-in-class and the reason most teams pick PlanetScale over alternatives.
• You don’t need auth, storage, or realtime bundled — you already have or will build those separately.
• Your monthly budget starts at $39 or more — there’s no free tier path.

When to choose Supabase

• You’re starting from scratch and want auth, storage, database, realtime, and edge functions without wiring five vendors together.
• You need Postgres specifically — for JSONB, pgvector, PostGIS, Row Level Security, or full foreign keys.
• You need a real free tier — Supabase’s free project genuinely ships a useful product (500 MB DB, 1 GB storage, 50K MAU auth). The only catch is projects pause after 1 week of no activity; any write wakes them back up.
• You want the option to self-host if/when pricing, compliance, or sovereignty forces your hand — Supabase is open source, PlanetScale is not.
• You’re building something AI-adjacent — pgvector ships in every Supabase database with no extra setup.

The scale question — when do they cross paths?

PlanetScale’s pitch is “we handle the write scaling that single-Postgres can’t.” That’s true but the threshold is higher than most teams hit. A well-tuned Postgres with read replicas (what Supabase offers on paid tiers) handles most SaaS workloads into the millions-of-users range. You generally don’t need PlanetScale’s sharding until you’re:

• Writing >10,000 operations per second sustained, or
• Storing tens of TB with high-concurrency access to hot rows, or
• Hitting specific MySQL ecosystem requirements (downstream replication consumers, Vitess-specific tooling)

For a 100K-MAU SaaS with moderate write traffic, both platforms work. The decision is usually about the surrounding stack (Postgres ecosystem vs MySQL ecosystem) and what else you need (BaaS or not), not raw database capability.

Pricing at scale — concrete numbers

Assuming a moderate-size production app (10 GB database, ~5 TB monthly transfer, standard read/write mix):

At 10 GB / 5 TB egress, real-world cost is typically $50-120/mo on PlanetScale and $30-80/mo on Supabase. The “10 GB isn’t enough” point hits sooner on Supabase Pro (8 GB included) than PlanetScale Scaler (10 GB included), so very database-heavy workloads can flip which is cheaper.

Killer features

PlanetScale — Branch + Deploy Request: Schema changes run on a branch. You open a Deploy Request (literally like a GitHub pull request for your database schema) and PlanetScale applies it via an online schema-change algorithm with zero downtime, even for massive tables. This is the feature nothing else can match at PlanetScale’s quality level. If your product keeps hitting schema-migration outages, PlanetScale alone solves that.

Supabase — Row Level Security + realtime + pgvector in one place: RLS means you can let clients talk directly to the database via PostgREST and enforce per-row auth in the database itself, not in application code. Realtime piggybacks on Postgres CDC — subscribe to table changes from the browser. pgvector means “AI features” (embeddings, similarity search) ship with your database, no separate vector DB. All three are Postgres-native, which is why Supabase can offer them at $25/month.

Deal-breakers

Reasons to rule out PlanetScale:

• You need Postgres (different ecosystem entirely).
• Your team is pre-funding and $39/month is a blocker.
• You need auth, storage, or realtime and don’t want to wire separate vendors.
• You’re building an AI/embeddings-heavy app (no pgvector equivalent).

Reasons to rule out Supabase:

• You’ve genuinely hit Postgres write-scaling limits (uncommon until ~10K TPS sustained).
• Compliance demands MySQL specifically (rare but real for some regulated industries).
• Your workload has hot-row write contention that horizontal sharding would relieve — Supabase’s single-writer architecture won’t help here.
• You can’t tolerate the 7-day idle pause on free tier, and Pro isn’t in budget.

The realistic default in 2026

For most teams starting a new project today, Supabase is the higher-leverage default. It’s cheaper to start, the free tier is actually useful, Postgres is the more portable ecosystem, and the BaaS bundle removes 2-3 other vendor decisions. Migrate to PlanetScale only when you hit a concrete problem Supabase can’t solve — and that problem is almost never “my Postgres is too slow,” it’s “my schema migrations keep breaking production.”

Also worth comparing

• Neon vs Supabase — both Postgres, more apples-to-apples
• Neon vs PlanetScale — Postgres vs MySQL managed comparison
• Neon vs Supabase vs AWS RDS — three-way with the legacy incumbent