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Postgres vs. Supabase vs. Firebase for startup backends in 2026

Brimode

“Which database?” is really three questions:

  1. Data model — relational vs document vs realtime-first
  2. Who operates it — you, a platform, or a BaaS
  3. Exit strategy — how painful is migration at month 18?

PostgreSQL (self-managed or RDS-style)

Best when: you want maximum control, predictable SQL, and team comfort with migrations.

Pros

  • Mature ecosystem, strong consistency
  • Works with any ORM (Drizzle, Prisma, etc.)
  • Easy to reason about backups and replicas

Cons

  • You own auth, APIs, and realtime unless you add layers
  • Ops time is real even on managed RDS/Cloud SQL

Official reference: PostgreSQL documentation.

Supabase (Postgres + platform)

Best when: you want Postgres plus auth, storage, and APIs fast — common for Next.js startups.

Pros

  • Real Postgres under the hood — less lock-in than pure document BaaS
  • Auth and row-level security patterns for multi-tenant apps
  • Good DX for MVPs that may grow into serious products

Cons

  • Platform limits and pricing tiers matter at scale
  • Complex edge cases still need custom backend code

See Supabase docs for RLS and auth patterns.

Firebase (Google)

Best when: mobile-first, rapid prototyping, heavy realtime, and your team already lives in Google Cloud.

Pros

  • Extremely fast for certain app shapes
  • Strong mobile SDK story

Cons

  • Query and reporting patterns can hurt later
  • Migration off Firebase is a known pain point — plan early if enterprise buyers appear

Decision matrix (simplified)

Need Lean toward
B2B SaaS + SQL reports Postgres or Supabase
Mobile chat + live sync Firebase or Supabase realtime
Strict compliance + custom VPC Managed Postgres you control
Founder coding solo, 3-week MVP Supabase or Firebase

Pairing with your frontend

Most Brimode clients on custom software use Next.js + Postgres (often via Supabase early, then evolve). Marketing sites may stay on Webflow while product uses a separate stack — see Webflow vs custom.

Before you commit

  • Model your tenancy (single DB vs schema per tenant)
  • Write down backup and restore drill once
  • Load-test the one query that will run on every dashboard load

Get backend architecture help before your schema becomes archaeology.

Further reading

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