Supabase vs Firebase
Both are backend-as-a-service platforms that handle auth, database and storage. The core difference is SQL vs NoSQL — and what that means for your data model and exit strategy.
Quick answer: Supabase uses PostgreSQL, which gives you full SQL power, relational data models and no vendor lock-in. Firebase is faster to start but more limiting as complexity grows, and exits are expensive.
What is the difference?
Supabase is an open-source Firebase alternative built on PostgreSQL, offering SQL queries, Row Level Security, Edge Functions and real-time subscriptions. Firebase is Google's proprietary NoSQL backend with Firestore (document/collection model), Authentication, Cloud Functions and hosting.
Feature-by-feature comparison
Supabase vs Firebase across the dimensions that matter most.
| Feature | Supabase | Firebase |
|---|---|---|
| Database type | PostgreSQL — relational, SQL, ACID-compliant. | Firestore — NoSQL document/collection model. |
| Query language | Full SQL — joins, aggregations, window functions. | Firestore query API — limited to indexed fields, no arbitrary joins. |
| Open source | Yes — MIT licensed, full codebase on GitHub. | No — proprietary Google platform. |
| Vendor lock-in | Low — Postgres is portable; self-hosting is straightforward. | High — Firestore data model and Security Rules are Firebase-specific. |
| Real-time | Yes — Realtime subscriptions on Postgres changes via WebSocket. | Yes — Firestore real-time listeners are a core feature. |
| Authentication | Built-in Auth with email, OAuth, magic link and SSO. | Firebase Auth — mature, wide OAuth provider support, deeply integrated. |
| Pricing model | Free tier then flat $25/month Pro. Predictable — no per-read charges. | Spark (free) then Blaze pay-as-you-go — read/write costs can spike. |
| Self-hosting | Yes — Docker Compose stack; full self-hosted option. | No — cloud-only; Google Cloud only. |
When to choose each
Choose Supabase when:
- Your data is relational — users, orders, products, teams with foreign keys.
- You or your team know SQL and want to write real queries.
- Open source and data portability are requirements.
- You want a predictable monthly bill without per-read pricing surprises.
- You need PostgreSQL extensions — pgvector for AI, PostGIS for geo, TimescaleDB.
Choose Firebase when:
- You are migrating or extending an existing Firebase project.
- You need the fastest possible prototype with a simple document model.
- Your data structure is flat and document-shaped — no complex joins needed.
- You are already embedded in the Google Cloud / Google Workspace ecosystem.
Cost comparison
Supabase
Free tier includes 500MB database and 1GB file storage. Pro is $25/month. Pricing is predictable — no per-read/write charges.
Firebase
Spark (free) plan has daily limits. Blaze pay-as-you-go scales with reads/writes — costs can surprise at scale. No flat-fee option for high-traffic apps.
Both platforms handle real-time updates and auth efficiently. Supabase's PostgreSQL excels at complex joins and aggregations. Firestore scales better for extremely high-frequency simple document writes at the cost of query flexibility.
Supabase uses PostgreSQL Row Level Security — a mature, auditable security model enforced at the database level. Firebase uses Security Rules, which are powerful but require careful implementation to avoid data exposure. Both have had security incidents caused by misconfigured rules, not platform vulnerabilities.
Common use cases
Common questions
Frequently asked questions about Supabase vs Firebase.
Related services
Related comparisons
Every business has different requirements
Integration, security and scalability constraints vary by organisation. The right choice depends on your existing stack, team size, compliance requirements and the specific workflow you are trying to automate or build.
Talk to our engineering team. We will assess your situation and recommend the approach that fits — not the one that sounds most impressive.
Reviewed by the Ascii-Core Engineering Team — specialists in AI engineering, workflow automation, product development and enterprise software architecture. Content reviewed regularly to reflect current technologies and implementation practices. · Updated June 2026