Supabase vs Firebase: Which MCP should you use?
Supabase
Open-source Firebase alternative on Postgres
Firebase
Google's realtime BaaS on NoSQL
TL;DR
Both are BaaS offerings. Supabase is Postgres-based (relational, SQL, open-source), Firebase is Firestore-based (NoSQL, proprietary, Google Cloud). Supabase wins if you want SQL, lower lock-in, and predictable pricing. Firebase wins for mobile-first apps tied to Google's ecosystem.
Pick Supabase
Pick Supabase when you want relational SQL, open-source, and portable Postgres underneath.
Pick Firebase
Pick Firebase when you ship mobile apps, use FCM, and live inside Google Cloud anyway.
Feature-by-feature comparison
| Feature | 🟢Supabase | 🔥Firebase | Winner |
|---|---|---|---|
| Data model | Relational SQL (Postgres) | Document NoSQL (Firestore) | Tie |
| Open source | Yes (Apache 2.0) | No | A |
| Self-host | Yes | No | A |
| Realtime | Postgres changes + broadcast | Firestore listeners (more mature) | B |
| Mobile SDKs | JS / Flutter / Swift | Native SDKs for every platform | B |
| Complex queries / joins | Full SQL | Limited, often requires denormalization | A |
| Pricing predictability | Fixed tiers + usage | Per-read billing can spike | A |
| Offline sync | Limited (PowerSync etc.) | Built-in | B |
Data model
TieSupabase
Relational SQL (Postgres)
Firebase
Document NoSQL (Firestore)
Open source
ASupabase
Yes (Apache 2.0)
Firebase
No
Self-host
ASupabase
Yes
Firebase
No
Realtime
BSupabase
Postgres changes + broadcast
Firebase
Firestore listeners (more mature)
Mobile SDKs
BSupabase
JS / Flutter / Swift
Firebase
Native SDKs for every platform
Complex queries / joins
ASupabase
Full SQL
Firebase
Limited, often requires denormalization
Pricing predictability
ASupabase
Fixed tiers + usage
Firebase
Per-read billing can spike
Offline sync
BSupabase
Limited (PowerSync etc.)
Firebase
Built-in
Best for
Supabase
- Open source: Yes (Apache 2.0)
- Self-host: Yes
- Complex queries / joins: Full SQL
- Pricing predictability: Fixed tiers + usage
Best for
Firebase
- Realtime: Firestore listeners (more mature)
- Mobile SDKs: Native SDKs for every platform
- Offline sync: Built-in
Migration path
Migrating Firebase to Supabase requires schema design up front — export Firestore JSON, design normalized tables, write an ETL with @supabase/supabase-js. Firebase Auth users export via Admin SDK, then import into Supabase Auth with password hashes preserved. Plan ~1-2 weeks for a non-trivial app.
Frequently asked questions
What is the main difference between Supabase and Firebase?
Both are BaaS offerings. Supabase is Postgres-based (relational, SQL, open-source), Firebase is Firestore-based (NoSQL, proprietary, Google Cloud). Supabase wins if you want SQL, lower lock-in, and predictable pricing. Firebase wins for mobile-first apps tied to Google's ecosystem. In short: Supabase — Open-source Firebase alternative on Postgres. Firebase — Google's realtime BaaS on NoSQL.
When should I pick Supabase over Firebase?
Pick Supabase when you want relational SQL, open-source, and portable Postgres underneath.
When should I pick Firebase over Supabase?
Pick Firebase when you ship mobile apps, use FCM, and live inside Google Cloud anyway.
Can I migrate from one to the other?
Migrating Firebase to Supabase requires schema design up front — export Firestore JSON, design normalized tables, write an ETL with @supabase/supabase-js. Firebase Auth users export via Admin SDK, then import into Supabase Auth with password hashes preserved. Plan ~1-2 weeks for a non-trivial app.
Do Supabase and Firebase both work with MCP-compatible AI agents?
Neither Supabase nor Firebase is in the MCPizy directory yet. Check each vendor's own docs for an MCP server before assuming one exists.
More Database comparisons
Supabase vs Postgres
Supabase is managed Postgres plus auth, storage, edge functions, and realtime. Plain Postgres gives you the same battle-tested engine without the batteries — you run it yourself. Supabase wins for speed-to-product; Postgres wins for full control and cost at scale.
Postgres vs MySQL
Both are mature open-source relational databases. Postgres has richer SQL (CTEs, window functions, JSON, arrays, extensions), stricter standards compliance, and better for complex analytics. MySQL is simpler, often faster on basic read-heavy workloads, and dominates WordPress/PHP ecosystems.
MongoDB vs Postgres
MongoDB is a document database — flexible schemas, built-in sharding, great for unstructured data and rapid prototyping. Postgres is relational but its JSONB type covers most 'flexible schema' use-cases while also giving you joins, transactions, and stricter integrity.