Supabase vs Neon vs PlanetScale 2026

TL;DR

Supabase for solo founders and small teams — you get PostgreSQL, auth, storage, and edge functions in one dashboard. Neon for teams that want pure serverless PostgreSQL with branching and minimal lock-in. PlanetScale for MySQL teams that need horizontal scaling. If you're starting fresh: Supabase or Neon, full stop.

Quick Comparison

Feature	Supabase	Neon	PlanetScale
Database	PostgreSQL	PostgreSQL	MySQL (Vitess)
Free tier	500MB + 50k rows	0.5GB storage	Scaled back (hobby $0)
Paid starts at	$25/mo	$19/mo	$39/mo
Branching	✅ (schema-level)	✅ (git-like)	✅ (best-in-class)
Auth built-in	✅	❌	❌
Storage built-in	✅	❌	❌
Edge/serverless	✅ Edge Functions	✅ Serverless	✅
Row-level security	✅ Built-in RLS	Postgres RLS	❌ (not Postgres)
Realtime	✅ Built-in	❌	❌
Lock-in	Medium (ecosystem)	Low (pure Postgres)	Medium (MySQL+Vitess)

Supabase: The Full-Stack Postgres Platform

Supabase isn't just a database — it's auth, storage, edge functions, realtime, and database in one. The free tier is generous enough for side projects.

// Supabase client — one client for everything
import { createClient } from '@supabase/supabase-js';

const supabase = createClient(
  process.env.NEXT_PUBLIC_SUPABASE_URL!,
  process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
);

// Auth
const { data: { user } } = await supabase.auth.signInWithOAuth({ provider: 'github' });

// Database query with RLS automatically enforced
const { data: posts } = await supabase
  .from('posts')
  .select('*, author(*)')
  .eq('published', true)
  .order('created_at', { ascending: false });

// File upload
const { data } = await supabase.storage
  .from('avatars')
  .upload(`${user.id}/avatar.png`, file);

// Realtime subscription
supabase
  .channel('posts')
  .on('postgres_changes', { event: 'INSERT', schema: 'public', table: 'posts' }, (payload) => {
    console.log('New post:', payload.new);
  })
  .subscribe();

When Supabase Wins

• Solo founders and small teams who want one dashboard for everything
• Apps that need auth + database + storage tightly integrated
• Products that use Supabase's Row Level Security for multi-tenancy
• Teams coming from Firebase who want PostgreSQL power
• Projects where speed of development > infrastructure control

Supabase Limitations

• Free tier projects pause after 1 week of inactivity (not ideal for demos)
• Supabase ecosystem lock-in — if you use Supabase Auth + RLS + Realtime, migrating is painful
• Less control over PostgreSQL configuration vs raw Neon
• Edge Functions are Deno (not Node.js) — some npm packages don't work

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Neon: Pure Serverless PostgreSQL

Neon focuses on one thing: serverless PostgreSQL with git-like branching. No auth, no storage, no extras. Just Postgres.

// Neon with Drizzle — no vendor lock-in in query code
import { drizzle } from 'drizzle-orm/neon-http';
import { neon } from '@neondatabase/serverless';

const sql = neon(process.env.DATABASE_URL!);
const db = drizzle(sql);

// Standard Drizzle/Prisma queries — database-agnostic
const users = await db.select().from(usersTable).where(eq(usersTable.active, true));

Neon Branching in Practice

Neon's killer feature: instant database branches. Every feature branch can have its own database state.

# Create a branch for a feature — instant, copy-on-write
neon branches create --name feature/new-billing-model --parent main

# Run migrations on branch without touching production
DATABASE_URL=$(neon connection-string feature/new-billing-model)
npx prisma migrate deploy

# Test in CI against the branch
# Merge PR → merge database branch → deploy to production

This is genuinely transformative for teams with complex migrations. No more "staging database is out of sync with production."

When Neon Wins

• Teams who want pure PostgreSQL with no lock-in
• Projects already using separate auth (Clerk, Auth.js) and storage (Cloudflare R2)
• Migration-heavy development where database branching pays off
• Edge-deployed apps (Neon's serverless driver works in Cloudflare Workers, Vercel Edge)
• Developers who want to self-host later — Neon is standard Postgres

Neon Limitations

• No auth, storage, or realtime built-in — you assemble these separately
• Free tier is smaller than Supabase (0.5GB vs Supabase's 500MB + auth + storage)
• Compute autoscales to zero — cold starts when inactive (50-200ms)

---

PlanetScale: MySQL with Supercharged Branching

PlanetScale builds on Vitess (the MySQL clustering tech behind YouTube and GitHub). Their non-blocking schema changes and database branching are the best in class.

The Key Differentiator: Non-Blocking Migrations

-- Regular MySQL: ALTER TABLE locks the entire table
-- On a large table, this can take hours and block all queries
ALTER TABLE users ADD COLUMN subscription_tier VARCHAR(20);

-- PlanetScale: deploy requests handle this transparently
-- Schema changes are applied without locking
-- Works with tables of billions of rows

When PlanetScale Wins

• Teams with MySQL experience (Rails, Laravel backgrounds)
• Apps that will need to scale to millions of rows with schema changes
• Products that need deploy request workflow for schema review
• Companies that had schema migration problems in the past

PlanetScale Limitations

• MySQL, not PostgreSQL — many boilerplates are Prisma + Postgres; need to swap
• Prisma had issues with PlanetScale's lack of foreign key enforcement (improving)
• Free tier has been scaled back significantly since 2024 — hobby plan is now paid
• Row Level Security doesn't exist (Postgres-specific feature)

---

Which Boilerplates Use What

Boilerplate	Database	Notes
ShipFast	Supabase or MongoDB	Supabase version most popular
Supastarter	Supabase	RLS-based multi-tenancy
Makerkit	Supabase	Supabase-first, Postgres option
T3 Stack	PostgreSQL (any)	Usually Neon or Supabase Postgres
Epic Stack	SQLite + Fly / PostgreSQL	Starts SQLite, scales to Postgres

---

Decision Framework

Need auth + storage + realtime in one platform?
  → Supabase

Want pure Postgres with git-like branching and no ecosystem lock-in?
  → Neon

MySQL team or need schema changes on tables with billions of rows?
  → PlanetScale

Starting small, want the simplest setup?
  → Supabase (most batteries included) or Neon (simplest pricing)

---

Schema Migration Workflows in Practice

How you manage schema changes in production is where these three databases diverge most sharply in day-to-day development experience.

With Supabase, the standard workflow uses the Supabase CLI to generate and apply migrations. Running supabase db diff --schema public compares your local schema against the remote and generates a SQL migration file. You commit that file to version control and apply it to production with supabase db push. The Supabase dashboard also has a table editor that auto-generates migrations when you add columns via GUI — useful for prototyping but dangerous in production because it bypasses your migration history.

Neon's branching feature transforms migration workflows. Before applying a potentially destructive migration, you create a branch (neon branches create --name migration-test), run the migration against the branch, and test with production-equivalent data. If something breaks, you delete the branch and no production data was touched. This is genuinely transformative for migrations that add NOT NULL constraints, rename columns, or drop tables — operations that are safe to test but risky to deploy blind. Teams with weekly migration cadences report it eliminates the pre-migration anxiety that slows deploys.

PlanetScale's deploy requests take migration safety furthest. Rather than applying migrations directly, you open a "deploy request" — similar to a pull request but for schema changes. PlanetScale analyzes the migration for blocking operations, estimates downtime, and shows you the diff. A team member reviews and approves. The schema change deploys without locking tables, regardless of the table size. For B2B SaaS with enterprise SLAs, schema changes without maintenance windows are worth the MySQL constraint.

The tradeoff is real: PlanetScale's non-blocking migrations require foreign key constraints to be handled in application logic rather than enforced by the database. Prisma has historically had issues with this (the relationMode = "prisma" config). Neon and Supabase use standard PostgreSQL foreign keys enforced by the database. Teams migrating from Rails or Laravel to Prisma+PlanetScale often hit this friction early.

Connection Pooling and Serverless Compatibility

Serverless functions create a database connection problem that traditional hosted databases weren't designed to handle.

A standard PostgreSQL server handles 100–500 concurrent connections before performance degrades. A serverless deployment can create hundreds of simultaneous function instances, each wanting its own connection — far exceeding database limits. Without a pooler, your app crashes under load with "too many connections" errors.

Supabase includes PgBouncer (a connection pooler) at the platform level. Your Prisma configuration needs two connection strings: DATABASE_URL (pooled, for application queries) and DIRECT_URL (direct, for migrations). The pooled URL routes through PgBouncer which multiplexes many application connections onto fewer database connections. Supabase handles the pooler configuration — you just use the right URL.

Neon's architecture is serverless-native. The Neon serverless driver (@neondatabase/serverless) uses HTTP rather than persistent TCP connections, which means each query is a stateless HTTP request. There are no connection limits to exhaust. This design is the reason Neon works in Cloudflare Workers and Vercel Edge Functions where persistent TCP connections are impossible. For Drizzle users, this is the key reason drizzle-orm/neon-http is the recommended adapter over drizzle-orm/node-postgres.

PlanetScale also uses an HTTP-based serverless driver (@planetscale/database). The same benefits apply: no persistent connections, works at the edge, handles thousands of concurrent function invocations without connection pool exhaustion.

The practical recommendation: if you're deploying to Vercel or Cloudflare Workers, Neon's HTTP driver is the most ergonomic choice. If you're on a persistent server (Railway, Render, traditional VPS), standard PostgreSQL connections via Prisma/Drizzle work fine with Supabase, and connection pooling via PgBouncer becomes relevant only when your connection count grows.

Pricing at Scale: What Changes When You Grow

The free tiers all look similar at zero. The gap opens at meaningful scale.

Supabase's Pro plan at $25/month includes 8GB storage, 50K MAU for Auth, 100GB egress, and 500GB-hours of compute. The compute autoscaling is the key variable — a database that handles steady load cheaply can spike in cost during traffic bursts if you haven't provisioned appropriately. The $25 flat rate covers a typical early-stage SaaS comfortably. Beyond that, Supabase bills per additional compute, storage, and egress.

Neon's Launch tier at $19/month provides 10GB storage and 300 compute hours (enough for a production app that doesn't run 24/7). The autoscaling-to-zero feature means you pay only for active compute — important for staging and development environments that run intermittently. Neon's pricing is compute-unit based; a database with bursty traffic but low baseline load often runs cheaper on Neon than on a fixed-allocation service.

PlanetScale removed its free tier for hobby projects in 2024 and now starts at $39/month for the Scaler Pro plan. That plan includes 1 billion row reads, 5 million row writes, and 10GB storage — more than generous for most SaaS products, but the $39 floor is higher than Supabase or Neon. For teams that need PlanetScale's non-blocking migrations and are already at meaningful scale, the price difference is negligible. For early-stage projects exploring options, it's a reason to start with Neon or Supabase.

Multi-Tenancy Patterns: How Each Database Handles B2B SaaS

B2B SaaS applications face a structural challenge that consumer apps don't: multiple customers (tenants) share the same database infrastructure, but their data must be isolated, queryable, and manageable independently.

Supabase and Row Level Security offer the most elegant multi-tenancy story. Each row in a shared table includes an organization_id column. RLS policies attached to the table ensure that any query automatically filters to the current user's organization — no application-level WHERE clauses needed. The policy runs inside the database engine, meaning it's enforced even if your application code is buggy. For a boilerplate like Supastarter or Makerkit, which target multi-tenant B2B SaaS, this is the reason Supabase is the obvious default.

-- Create organization isolation with a single RLS policy
CREATE POLICY "org_isolation" ON projects
  USING (organization_id = (
    SELECT organization_id FROM memberships
    WHERE user_id = auth.uid()
  ));

Once this policy exists, every query against projects — from the Supabase client, from Prisma, from raw SQL in a Supabase Edge Function — automatically scopes to the authenticated user's organization. This is a meaningful DX advantage for boilerplates that need multi-tenancy on day one.

Neon's approach to multi-tenancy is standard PostgreSQL: you handle tenant isolation in application code or via Postgres schemas. The more advanced pattern — one Postgres schema per tenant — works well on Neon because schema creation is cheap and branching lets you test schema migrations per-tenant before deploying to all tenants. Neon's branching model can mirror your multi-tenant schema structure: one branch per major tenant for migration testing.

PlanetScale handles multi-tenancy through standard MySQL patterns (tenant ID columns, application-layer filtering) without the database-enforced isolation that Postgres RLS provides. This means you rely more on application correctness for data isolation — a real operational consideration for security-sensitive B2B products.

Backup, Recovery, and Data Durability

Operational databases need reliable backup and point-in-time recovery. Here's how the three services differ:

Supabase Pro and above includes daily backups with 7-day retention and point-in-time recovery (PITR) — the ability to restore your database to any second within the retention window. PITR requires the $25/month Pro tier; the free tier only gets daily snapshots. For a production SaaS, PITR is a hard requirement: if a bug deploys and corrupts data, you need to restore to exactly before the bad deploy, not to yesterday's backup.

Neon's architecture makes backup almost trivially simple. Because Neon's storage layer is copy-on-write and branching is instant, you can create a "backup branch" at any moment in seconds. Neon also supports PITR — you can restore a branch to any historical point. For development workflows, this matters enormously: before running a risky migration, create a branch, run the migration on the branch, validate, then apply to production. If production migration fails, your data is untouched.

PlanetScale includes automatic daily backups and supports PITR on paid plans. Their deploy request workflow for schema changes is itself a form of backup protection — schema changes can't be applied without review, which prevents a class of accidental data loss from bad migrations.

The practical guidance: all three offer acceptable backup and recovery for production SaaS. Neon's branch-based workflow makes pre-migration snapshots genuinely frictionless, which reduces the anxiety of schema migrations more than any backup feature does.

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Compare boilerplates by database provider on StarterPick.

See the Drizzle vs Prisma guide for ORM-specific database compatibility considerations.

Review the best SaaS boilerplates guide — most are pre-configured for either Supabase or Neon.

Exploring your full tech stack? The Next.js SaaS tech stack guide covers how database choice fits into the broader SaaS architecture decision.