The Problem Nobody Tells You About Firebase
I used Firebase for two years across multiple projects. At first it's magic: authentication ready, real-time database, hosting... everything works. But then comes the moment you need something slightly more complex.
I wanted to filter documents by multiple fields, sort results in a specific way, and run aggregations. With Firestore, each of these operations requires composite indexes. And indexes, friend, have a cost.
It's not that Firebase is expensive *per se*. The problem is costs aren't predictable. A poorly optimized query can generate unexpected reads. And in Firestore, every read counts, even if it's a document you later discard.
The Moment of Change
I had a project with a users table that needed filtering by role, status, and creation date, ordered by last activity. In Firestore, that required a composite index. Then I needed another filter combination. Another index. And another.
Eventually I had 7 different indexes for a single collection.
At that point I asked myself: Why am I paying for this complexity when SQL would solve it in one line?
```sql SELECT * FROM users WHERE role = 'admin' AND status = 'active' AND created_at > NOW() - INTERVAL '30 days' ORDER BY last_activity DESC; ```
One query. No special indexes. No UI configuration.
Supabase: PostgreSQL Without the Infrastructure
Supabase is essentially PostgreSQL hosted with a nice UI around it. But that's exactly what I needed.
What You Gain by Switching
1. Real SQL Queries
No weird abstractions. You write standard SQL. If you know SQL, you know Supabase.
```javascript // With Next.js and Supabase const { data, error } = await supabase .from('users') .select('*') .eq('role', 'admin') .eq('status', 'active') .gt('created_at', new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString()) .order('last_activity', { ascending: false });
// But you can also write raw SQL if you need to const { data, error } = await supabase.rpc('get_active_admins'); ```
2. Joins Without Penalty
In Firestore, joins don't really exist. You make multiple queries and combine them on the client. In PostgreSQL, joins are cheap and efficient.
```sql SELECT u.id, u.name, COUNT(p.id) as post_count FROM users u LEFT JOIN posts p ON u.id = p.user_id WHERE u.status = 'active' GROUP BY u.id HAVING COUNT(p.id) > 5; ```
One query. Done.
3. Real Transactions
Supabase supports ACID transactions. If you need to guarantee multiple operations execute together or none at all, it's solved.
4. It's Open Source
Supabase is built on open source software. PostgreSQL is open source. You can run Supabase on your own server if you want. That means you're not locked into a proprietary platform.
Firebase is Google. If Google changes its mind, you change your mind.
What You Lose (Yes, There Are Tradeoffs)
I'm not going to pretend Supabase is perfect for everything.
Real-Time Updates
Firestore has native real-time subscriptions that work seamlessly. Supabase has Realtime, but it works differently. It's more limited in some cases.
For applications needing ultra-frequent real-time updates (like a collaborative editor), Firebase is still more straightforward.
Horizontal Scalability
PostgreSQL scales vertically very well. But if you need automatic sharding, Firebase handles it better. Though honestly, most applications never reach that point.
Less Magic
Firebase gives you everything integrated. Supabase is more modular. You need to think about authentication, storage, realtime separately. That's more work, but also more control.
The Economics (Without Specific Numbers)
In my experience, Supabase is more affordable for applications with complex queries. Firebase can be cheaper if your use case is simple (document reads/writes without complicated filters).
What matters is that with Supabase you understand exactly why you're paying. With Firebase, surprises arrive when you least expect them.
My Current Setup
Now I use Supabase for pretty much everything:
- Primary database in PostgreSQL
- Authentication with Supabase Auth
- Storage for files
- Realtime when I need it
- Serverless functions for complex logic
All in one coherent ecosystem.
```typescript // Real example: Create user with related data const createUserWithProfile = async (email: string, name: string) => { const { data, error } = await supabase .from('users') .insert([ { email, name, created_at: new Date().toISOString(), }, ]) .select();
if (error) throw error; return data[0]; }; ```
The Real Point
I'm not saying Firebase is bad. It's excellent for certain use cases: quick MVPs, simple applications, when you need something in production in hours.
But if your application grows, if you need sophisticated queries, if you want to understand exactly what's happening in your database... Supabase is the way.
PostgreSQL has been in production for 30 years. It's not a trend. It's the tool used by startups and Fortune 500 companies.
Supabase simply gives you access to that without the complexity of managing infrastructure.
Takeaway
Choose tools based on what your application needs, not what's most comfortable initially. Firebase is comfortable. Supabase is powerful.
For most applications that grow, power wins.
