When to Use Supabase
The Right Tool for the Job
Supabase is powerful, but it's not the right choice for every project. Understanding when Supabase excels—and when it doesn't—helps you make better architectural decisions.
Supabase Excels When...
1. You Need Rapid Development
Supabase eliminates boilerplate:
// Full CRUD API with auth and RLS in minutes
const supabase = createClient(url, key)
// Create
await supabase.from('posts').insert({ title: 'Hello' })
// Read with relationships
await supabase.from('posts').select('*, author:users(name)')
// Auth
await supabase.auth.signInWithOAuth({ provider: 'google' })
Best for: MVPs, prototypes, hackathons, small team projects
2. You're Building Standard Web/Mobile Apps
Common patterns are well-supported:
- User authentication
- CRUD operations
- File uploads
- Real-time features
- Role-based access
Best for: SaaS products, mobile apps, content platforms, dashboards
3. Your Team Knows SQL
Supabase rewards SQL knowledge:
-- Complex queries work naturally
SELECT
users.name,
COUNT(posts.id) as post_count,
MAX(posts.created_at) as last_post
FROM users
LEFT JOIN posts ON users.id = posts.user_id
WHERE users.created_at > '2024-01-01'
GROUP BY users.id
HAVING COUNT(posts.id) > 5
ORDER BY post_count DESC;
Best for: Teams with database experience, SQL-proficient developers
4. You Want Relational Data
PostgreSQL shines with relationships:
-- Foreign keys, joins, constraints
CREATE TABLE orders (
id uuid PRIMARY KEY,
user_id uuid REFERENCES users(id),
product_id uuid REFERENCES products(id),
quantity integer CHECK (quantity > 0)
);
-- Query with joins
SELECT o.*, u.email, p.name
FROM orders o
JOIN users u ON o.user_id = u.id
JOIN products p ON o.product_id = p.id;
Best for: E-commerce, CRM, ERP, any complex domain model
5. Security is Critical
RLS provides database-level security:
-- Security enforced at database level
-- Can't be bypassed by application bugs
CREATE POLICY "Users see own data"
ON sensitive_data FOR SELECT
USING (user_id = auth.uid());
Best for: Fintech, healthcare, any regulated industry
6. You Want to Avoid Vendor Lock-In
Everything is portable:
# Export your data
pg_dump -h your-project.supabase.co -U postgres -d postgres > backup.sql
# Import anywhere
psql -h new-server -d newdb < backup.sql
Best for: Teams concerned about long-term flexibility
7. Real-time is Important
Built-in real-time without additional services:
supabase
.channel('messages')
.on('postgres_changes', {
event: 'INSERT',
schema: 'public',
table: 'messages'
}, handleNewMessage)
.subscribe()
Best for: Chat apps, dashboards, collaborative tools
Consider Supabase For
| Use Case | Fit | Why |
|---|---|---|
| SaaS application | Excellent | Standard patterns, multi-tenancy, auth |
| Mobile app backend | Excellent | REST API, auth, real-time |
| Internal tools | Excellent | Rapid development, SQL power |
| E-commerce | Good | Relational data, transactions |
| Content platform | Good | CRUD, auth, storage |
| Real-time dashboard | Good | Postgres Changes, subscriptions |
| IoT data collection | Good | Time-series, real-time |
| AI/ML applications | Good | pgvector for embeddings |
When Supabase Might Not Be Ideal
1. Extremely High Write Volume
PostgreSQL has limits:
- High-frequency sensor data (thousands/second)
- Time-series at massive scale
- Event logging with millions of events/hour
Consider: TimescaleDB, ClickHouse, or specialized time-series databases
2. Graph-Heavy Data
Relationships with deep traversals:
Find friends of friends of friends who like X and live within 10km
Consider: Neo4j, Neptune, or graph databases
3. Complex Search Requirements
Full-text search beyond PostgreSQL's capabilities:
- Typo tolerance at scale
- Faceted search
- Complex relevance tuning
Consider: Elasticsearch, Algolia, Meilisearch
4. Truly Serverless / Pay-Per-Query
If you need:
- Zero cost when idle
- Auto-scaling to zero
- Pay only for queries executed
Consider: PlanetScale, Neon, or serverless databases
5. Existing Complex Infrastructure
If you already have:
- Kubernetes clusters
- Custom auth systems
- Complex microservices
Supabase might add complexity rather than reduce it.
Decision Framework
Ask yourself:
1. Data Model
- Relational with relationships? → Supabase fits well
- Document-oriented? → Consider Firebase or MongoDB
- Graph relationships? → Consider graph databases
2. Scale
- Standard web app scale? → Supabase handles it
- Massive write volume? → May need specialized solutions
- Unpredictable spikes? → Consider serverless options
3. Team
- SQL knowledge? → Supabase rewards it
- Frontend-focused? → Supabase reduces backend work
- Backend expertise? → Custom solutions may fit better
4. Timeline
- Launch fast? → Supabase accelerates development
- Long-term project? → Consider migration flexibility
- Prototype/MVP? → Supabase excels here
5. Requirements
- Standard auth? → Built-in
- Real-time? → Built-in
- File storage? → Built-in
- Custom needs? → Edge Functions extend it
Hybrid Approaches
You don't have to use Supabase for everything:
Supabase + Specialized Search
// Store data in Supabase
await supabase.from('products').insert(product)
// Index in Algolia for search
await algolia.saveObject(product)
// User searches Algolia, gets IDs
const results = await algolia.search(query)
// Fetch full data from Supabase
const { data } = await supabase
.from('products')
.select('*')
.in('id', results.map(r => r.id))
Supabase + Analytics Database
// Transactional data in Supabase
await supabase.from('orders').insert(order)
// Sync to analytics database for heavy queries
// Using CDC (Change Data Capture) or batch jobs
Key Takeaways
- Supabase excels for: Standard apps, rapid development, relational data
- Consider alternatives for: High write volume, graph data, advanced search
- Team fit matters: SQL knowledge is an advantage
- Hybrid is fine: Use Supabase alongside specialized tools
- Portability is real: PostgreSQL data exports easily
Looking Ahead
Understanding when to use Supabase, let's explore its current limitations and how to work around them.
The best technology choice isn't the most powerful one—it's the one that fits your specific needs, team, and timeline. Supabase fits many situations well, but knowing when it doesn't fit is equally valuable.

