Firebase Vs Supabase Comparison
Firebase vs SupabaseBackend Platform Comparison &Architecture RecommendationsPrepared for TXIO Fusion SolutionsContext: GRADSENSE, SCANIX, IoT & Mobile ProjectsFebruary 2026
Firebase vs Supabase
Backend Platform Comparison & Architecture Recommendations
Prepared for TXIO Fusion Solutions • February 2026
Context: GRADSENSE, SCANIX, IoT & Mobile Projects
• • •
PART A: FIREBASE
1. What Firebase Actually Is
Firebase is not just a database. It is a comprehensive Backend-as-a-Service (BaaS) from Google that includes Firestore (NoSQL database), Realtime Database, Authentication, Cloud Functions, Cloud Storage, Hosting, Crashlytics, Analytics, Cloud Messaging, and more. It is essentially a full backend that you do not have to build or manage.
2. Where Firebase Genuinely Shines
• Speed to market: Firebase is easy and quick to set up. You can go from zero to a working app with auth, database, and hosting in an afternoon.
• Real-time built in: The Realtime Database lets you see changes the moment they happen — exceptional for chat apps, live dashboards, and IoT monitoring without building WebSocket infrastructure.
• Authentication: Firebase Auth supports Google, email/password, phone, Apple, and GitHub login out of the box. This alone saves weeks of development.
• Push notifications: Built-in, cross-platform Cloud Messaging. No need for separate services.
• Generous free tier: Spark plan: 1 GB Firestore, 10 GB hosting, 50K reads/day, 20K writes/day — enough for prototyping and small apps.
3. The Real Problems With Firebase
3.1 Pricing Can Explode
The pay-per-read/write model is unpredictable. As usage grows, costs can spike dramatically. A single viral event can generate unexpectedly high bills, making it risky for apps without established revenue models.
3.2 NoSQL Limitations — No Relations
Firestore stores documents in collections with no data relation option and limited querying capabilities. For projects like GRADSENSE (students, projects, supervisors, assessments, rubrics) or SCANIX (POS, suppliers, inventory, transactions), this is a fundamental mismatch. You end up denormalising everything, duplicating data, and performing joins in application code — which is both slow and expensive.
3.3 Vendor Lock-in
Your data lives in Google's proprietary format. Migrating from Firebase to another platform requires exporting Firestore data and restructuring it, reimplementing authentication, and replacing Cloud Functions. With MariaDB or PostgreSQL, you own your data and can move anywhere.
3.4 Complex Queries Are Painful
No aggregation queries, no JOINs, limited filtering — things that are trivial in SQL become architectural challenges in Firestore. Full-text search requires third-party services.
3.5 Cloud Functions Cold Starts
Cold start-up of Cloud Functions is a known issue that affects response time for serverless functions that have not been called recently.
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PART B: SUPABASE
4. What Supabase Actually Is
Supabase is an open-source Backend-as-a-Service platform built on PostgreSQL. It bundles a full SQL database, authentication, real-time data subscriptions, edge functions, file storage, and vector embeddings into one unified platform. Unlike Firebase, Supabase is SQL-first — you get a familiar PostgreSQL database with unrestricted data access, full SQL support, and the ability to self-host the entire stack.
5. Supabase Core Features
5.1 PostgreSQL Database
Every Supabase project gets a dedicated PostgreSQL instance. This means full SQL power including JOINs, aggregations, subqueries, window functions, triggers, and stored procedures. You can use any PostgreSQL extension, including PostGIS for geospatial data, TimescaleDB for time-series IoT data, and pgvector for AI/ML embeddings.
• Direct database connections: Native Postgres access with connection pooling via PgBouncer.
• No cold starts: Instances do not spin down — no cold start delays unlike Firebase Cloud Functions.
• Full ORM compatibility: Works seamlessly with Prisma, Drizzle, or any SQL ORM you already use.
5.2 Instant APIs (Auto-generated)
Supabase automatically generates RESTful and real-time APIs from your database schema. Every table, view, and function gets an API endpoint instantly — powered by PostgREST. Your Nuxt.js frontend can interact with the database directly through the Supabase client library without writing any backend code.
5.3 Authentication
Supabase Auth provides built-in authentication with email/password, magic links, phone OTP, and social OAuth providers. Auth integrates directly with PostgreSQL Row Level Security (RLS), meaning access control rules are enforced at the database level — not just in application code.
• 100,000 MAUs included on the Pro plan (vs. Firebase's per-use pricing).
• Row Level Security: Security policies defined directly in SQL, enforced by PostgreSQL itself.
5.4 Real-time Subscriptions
Supabase Realtime lets applications subscribe to PostgreSQL changes. When data is inserted, updated, or deleted, connected clients receive the changes instantly via PostgreSQL's logical replication. For IoT dashboards, this means sensor data written to PostgreSQL is immediately pushed to all connected monitoring clients.
5.5 Edge Functions
Supabase Edge Functions run serverless logic using Deno, globally distributed with no cold start issues. Free plan: 500K invocations/month. Pro plan: 2M invocations. Best used as glue logic for webhooks, payment processing, and third-party API calls.
5.6 File Storage
S3-compatible file storage with access policies tied to your authentication system. Free plan: 1 GB. Pro plan: 100 GB. Upload/download rules use the same RLS policies that protect your database.
5.7 Vector Embeddings (AI/ML)
Through the pgvector extension, Supabase supports storing and querying vector embeddings directly in PostgreSQL. This enables semantic search, recommendation engines, and RAG (Retrieval-Augmented Generation) applications without a separate vector database.
6. Supabase Pricing (2026)
Supabase uses a hybrid model with a fixed monthly base fee plus usage-based charges when you exceed included quotas — significantly more predictable than Firebase's per-read/per-write billing.
| Feature | Free | Pro ($25/mo) | Team ($599/mo) |
|---|---|---|---|
| Database | 500 MB | 8 GB | 8 GB+ |
| File Storage | 1 GB | 100 GB | 100 GB+ |
| MAUs (Auth) | 50,000 | 100,000 | 100,000+ |
| Edge Functions | 500K invocations | 2M invocations | 2M+ |
| Realtime Messages | 2M | 5M | 5M+ |
| Bandwidth | 5 GB | 250 GB | 250 GB+ |
| Backups | None | Daily (7-day) | Daily (7-day) |
| Self-hosting | Yes | Yes | Yes |
6.1 Real-World Cost Estimates
• Small production app: $25–$35/month (within Pro quotas). Suitable for early-stage TXIO client demos.
• Standard production: $125/month (Pro + Large compute addon) — realistic production minimum.
• Growing app (100K MAUs, 200GB DB): ~$630/month. Still significantly cheaper than equivalent AWS (~$3,180/month).
6.2 Cost Advantages Over Firebase
• Unlimited queries: No per-read or per-write charges. Firebase charges $0.06 per 100K reads and $0.18 per 100K writes.
• Predictable billing: You know your base cost upfront. Overages are transparent and capped with the spend cap feature.
• No viral billing shock: A traffic spike will not result in an unexpected $300+ bill overnight.
7. Supabase Strengths for TXIO Projects
• Full SQL for relational data: GRADSENSE and SCANIX are fundamentally relational. JOINs, transactions, and complex queries out of the box.
• Prisma and Drizzle compatibility: Your existing ORM workflow works directly with Supabase's PostgreSQL. No migration of application code needed.
• IoT real-time without WebSockets: Write sensor data to PostgreSQL; all connected dashboard clients get live updates automatically through Supabase Realtime.
• TimescaleDB extension: For high-frequency IoT data from water monitoring and aquaculture systems — purpose-built time-series on the same PostgreSQL instance.
• pgvector for AI features: Semantic search and AI-powered recommendations for GRADSENSE or SCANIX are built in.
• Self-hosting option: As an open-source platform, you can self-host the entire stack. Zero vendor lock-in.
• Row Level Security: Security policies enforced at the database level — perfect for multi-role access control in GRADSENSE (admin, supervisor, student, examiner).
8. Supabase Limitations
• Free tier pauses: After 7 days of inactivity — not suitable for production apps needing 24/7 uptime. Limited to 2 active projects on the free plan.
• No push notifications: No equivalent to Firebase Cloud Messaging. A separate service is needed for mobile push notifications.
• No built-in analytics: Firebase bundles analytics and crash reporting. Supabase requires third-party tools.
• Edge Functions are Deno-based: If backend logic is in Node.js, code may need adaptation. Alternatively, keep using Nuxt server routes.
• Team tier pricing jump: Gap from Pro ($25/month) to Team ($599/month) is significant. Evaluate carefully.
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PART C: COMPARISON & RECOMMENDATIONS
9. Firebase vs Supabase — Feature Comparison
| Aspect | Firebase | Supabase |
|---|---|---|
| Database | Firestore (NoSQL) | PostgreSQL (SQL) |
| Real-time | Native, excellent | PostgreSQL subscriptions |
| Authentication | Best-in-class | Very good, growing |
| Pricing Model | Pay-per-read/write (unpredictable) | Tiered + usage-based (predictable) |
| Querying | Limited, no JOINs | Full SQL, JOINs, aggregations |
| ORM Support | No traditional ORM | Prisma, Drizzle, any SQL ORM |
| Self-hosting | No | Yes (open-source) |
| Vendor Lock-in | High | Low |
| Data Migration | Difficult | Standard PostgreSQL tools |
| Edge Functions | Cloud Functions (cold starts) | Edge Functions (no cold starts) |
| File Storage | Cloud Storage | S3-style with access policies |
| AI/ML | Vertex AI integration | pgvector for embeddings |
| Free Tier | 1GB Firestore, 50K reads/day | 500MB DB, 50K MAUs, 1GB storage |
10. When Firebase Makes Sense
• Quick client-facing prototypes/MVPs — get something demo-ready in days
• Real-time IoT dashboards (view-only) — sensor data streaming to a lightweight monitoring app
• Mobile apps with simple data models — user profiles, notifications, chat
• Push notification infrastructure — Firebase Cloud Messaging is still the easiest cross-platform option
11. When Supabase Makes Sense
• Any project with relational data — GRADSENSE, SCANIX, or any app with complex data relationships
• Projects needing full SQL power — complex queries, reporting, analytics, aggregations
• Real-time dashboards backed by a real database — IoT data that also needs to be queried and analysed
• Projects where data ownership matters — open-source, self-hostable, standard PostgreSQL migration tools
• Multi-role access control — Row Level Security enforces permissions at the database level
12. When Neither Platform Alone Is Enough
The smart approach is a hybrid architecture. Use Firebase selectively for what it does best (Auth + Cloud Messaging for mobile push notifications), while using Supabase or PostgreSQL as your primary database and backend. You do not have to go all-in on either platform.
13. Architecture Recommendations by Use Case
| Use Case | Best Choice | Why |
|---|---|---|
| Core business apps (GRADSENSE, SCANIX) | PostgreSQL + Prisma/Drizzle | Relational data, complex queries, you own everything |
| Real-time dashboards | Supabase (PostgreSQL + realtime) | SQL power + real-time subscriptions + auth |
| Mobile app auth + push notifications | Firebase Auth + FCM only | Use Firebase for what it does best, not as your database |
| Quick client demos/MVPs | Firebase or Supabase | Speed matters most here |
| IoT time-series storage | PostgreSQL + TimescaleDB | Purpose-built for sensor data at scale |
14. Recommended Database Path Forward
MariaDB + Prisma is perfectly fine for what is currently running. For anything new, PostgreSQL + Drizzle (or Prisma) is the more future-proof combination. PostgreSQL's extension ecosystem alone makes it the stronger foundation for where TXIO's work is heading.
| Project | Database | ORM | Why |
|---|---|---|---|
| GRADSENSE (existing) | Keep MariaDB | Keep Prisma | Stable, working, no need to disrupt |
| SCANIX (new) | PostgreSQL | Drizzle or Prisma | Future-proof, better JSON, scalability |
| IoT platforms | PostgreSQL + TimescaleDB | Drizzle | Time-series optimised, lightweight |
| Mobile apps | SQLite (Turso) or Supabase | Drizzle | Edge-ready, offline-capable |
| Prototypes/MVPs | Supabase | Prisma or direct client | Fastest scaffold, built-in auth |
15. Emerging Options Worth Watching
• Supabase: PostgreSQL-as-a-service with real-time subscriptions, auth, and storage. Excellent for rapid prototyping with Nuxt.
• TimescaleDB: PostgreSQL extension purpose-built for time-series data. Perfect for IoT sensor telemetry from water monitoring and aquaculture systems.
• SQLite via Turso/LibSQL: Widely used in mobile and embedded development including React Native and Flutter. Interesting for offline-capable mobile apps.
• Redis: For caching layers, session management, and real-time pub/sub alongside your primary database.
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16. Key Takeaway
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Ilahi anta maqsudi wa ridhaka matlubi,
aʼtini mahabbataka wa maʼrifataka
Prepared by TXIO Fusion Solutions
Document compiled from technical discussions — February 2026