PostgreSQL icon

PostgreSQL

★★★★★ 4.8
VS
Supabase icon

Supabase

★★★★★ 4.7
Feature PostgreSQL Supabase
Pricing Free only Free / from $25/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.8 / 5 4.7 / 5
Best For backend-developers, enterprises, data-intensive-apps, geospatial-applications developers, startups, indie-hackers, full-stack-teams
Founded 1996 2020
Sql Queries
Json Support
Full Text Search
Extensions
Replication
Partitioning
Stored Procedures
Postgis
Postgres Database
Authentication
Edge Functions
Real Time
Storage
Vector Embeddings
Self Hosting

✓ PostgreSQL Pros

  • Completely free and open source
  • Extremely reliable with decades of development
  • Advanced features like JSON, full-text search, and PostGIS
  • Excellent standards compliance
  • Massive ecosystem of extensions

✗ PostgreSQL Cons

  • Requires more setup and management than cloud databases
  • Horizontal scaling more complex than NoSQL alternatives
  • Default configuration needs tuning for production

✓ Supabase Pros

  • Full Postgres with SQL access
  • Generous free tier (500MB, 50K monthly active users)
  • Auth, storage, and edge functions included
  • Open-source and self-hostable

✗ Supabase Cons

  • Can be complex for non-developers
  • Pauses inactive free projects after 7 days
  • Real-time can be expensive at scale

The Verdict

PostgreSQL is built for backend developers and enterprises, with a focus on sql-queries and json-support. Supabase targets developers and startups and leads with postgres-database and authentication.

PostgreSQL uses custom enterprise pricing, while Supabase starts at $25/mo — a tangible advantage for teams with a fixed budget.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, PostgreSQL offers broader built-in capabilities (8 features vs 7), while Supabase takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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