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Supabase vs Neon vs PlanetScale for SaaS Postgres in 2026

2026-05-24 · ~7 min read · Conor Dobbs

I run production workloads on Supabase + Neon. PlanetScale I evaluated but didn't pick — the MySQL legacy + the Vitess sharding story didn't fit my use cases. Here's the comparison after running them.

The honest summary

For a new SaaS where you want Postgres + auth + storage + edge functions in one provider: Supabase. The integrated stack is genuine time savings.

For Postgres-only workloads where you want database branching + serverless scaling: Neon. Their branching model is the best implementation I've used.

For MySQL-flavored workloads at scale where Vitess sharding is the point: PlanetScale. After their 2024 pricing changes, less compelling for indie/small than it used to be.

Where Supabase wins

Auth + RLS + Storage + Postgres in one dashboard. You can build a complete app backend without leaving the Supabase console. Row-level security in Postgres + Supabase Auth = a working multi-tenant SaaS without writing auth code. For indie projects, this is hours saved.

Postgres compatibility is real. It IS Postgres, not Postgres-flavored. Every Postgres extension works. Every Postgres tool (psql, pg_dump, your favorite ORM) works. You can pg_dump out + restore to any other Postgres host if you ever leave.

Edge Functions in Deno. Server-side logic running close to users, with a per-execution price you can actually predict. Better DX than Lambda for small workloads.

Pricing is predictable. Free tier is genuinely usable for small projects (500MB DB, 1GB storage, 50k MAU auth). Pro is $25/mo flat with comfortable headroom.

Where Neon wins

Database branching. Branch a database the way you branch a git repo. Each PR can get its own DB branch with the same schema + data, deploy preview tests against it, merge. Supabase has branching too but Neon's implementation is faster + cheaper.

Serverless scale-to-zero. Neon compute scales to zero when idle. Your bill for a side project that gets 5 users a month is genuinely cents. Supabase's compute always runs.

Bring your own auth / storage. Neon is database-only by design. If you already have your auth (Clerk, Auth.js, custom) + your storage (R2, S3, Backblaze), Neon doesn't try to replace them. Some teams prefer this clarity.

Open source-friendly licensing. Neon's core is Apache 2 + their managed service. Easier story for vendor-evaluation processes at larger orgs.

Where PlanetScale wins (and where it doesn't)

Wins: Vitess sharding lets you scale MySQL horizontally without sharding logic in your app. If you have or will have a write-heavy workload that outgrows a single primary, PlanetScale handles that elegantly.

Wins: Their schema-change workflow (deploy requests) is genuinely thoughtful. Schema migrations don't lock tables in production.

Doesn't win: Pricing. After their April 2024 changes (free tier dropped, paid tiers raised), they're optimizing for mid-market + enterprise. Indie SaaS pays disproportionately.

Doesn't win: MySQL ecosystem is smaller than Postgres for new projects in 2026. JSON support is good but PostgreSQL JSONB is better. PostGIS for any geo work. Newer tools (pgvector for embeddings, pg_trgm for fuzzy search) often have no MySQL equivalent or worse implementations.

Doesn't win: No foreign keys (Vitess limitation). Real application-level workaround required.

The cost reality at SaaS scale

For a SaaS with 5GB database, 100k MAU on auth, 5GB storage, modest compute:

The decision tree I actually use

New SaaS, want auth + DB in one place: Supabase.

New project, want lowest possible cost while idle, willing to wire up auth separately: Neon.

Existing MySQL app, growing past single-primary: PlanetScale (or self-managed Vitess).

Existing Postgres app, want to migrate to managed without rewriting: Supabase or Neon, depending on whether you also want auth/storage.

Side project that idles overnight: Neon (scale-to-zero is the win).

What about pgvector / embeddings?

All three Postgres options (Supabase, Neon, self-hosted) support pgvector out of the box now. For AI-adjacent SaaS, this matters more than the rest of the comparison. PlanetScale's MySQL has vector support but the ecosystem (LangChain, LlamaIndex, etc.) is Postgres-first.

What I actually do

SaaS with full auth + storage needs: Supabase. The integrated stack saves a week of integration work.

Side projects + experiments where I want zero cost when idle: Neon.

I would not pick PlanetScale for a new project in 2026.

If you want to drive Postgres from Claude / Cursor

I shipped a Postgres MCP Server on GitHub that gives you 8 tools for inspecting schemas, running safe SELECTs, EXPLAIN ANALYZE, finding slow queries, and table bloat — all via Claude Desktop or Cursor. Read-only by default. MIT licensed.

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