š How We Migrated a 100K-User App from Supabase to Firebase + GCP (With Zero Downtime)
Complete migration case study with zero downtime strategy and performance improvements
Table of Contents

š How We Migrated a 100K-User App from Supabase to Firebase + GCP (With Zero Downtime)
Supabase is great -- until it isn't.
One of our recent clients, a fast-growing SaaS startup, came to us with this problem:
> "We love Supabase, but now we're hitting performance walls, and managing infra is becoming a bottleneck."
They had:
- 100,000+ active users
- A PostgreSQL-based Supabase setup
- Real-time chat + analytics
- Monthly hosting bills climbing fast
Within 2 weeks, we migrated their entire backend to Firebase + Google Cloud -- with zero user disruption.
Here's how we did it.
š Why They Outgrew Supabase
While Supabase is an excellent Firebase alternative for many use cases, here were their main limitations:
Problem | Supabase Limitation | Firebase/GCP Upgrade |
|---|---|---|
Scaling DB | Self-managed Postgres | Firestore scales horizontally |
Real-time sync | WebSocket instability | Firestore has built-in real-time support |
Analytics | Needed custom pipelines | BigQuery + GA4 out-of-the-box |
Background jobs | Had to host own queues | Cloud Tasks + Pub/Sub = serverless queues |
Functions | Edge Functions lacked features | Cloud Run + Cloud Functions offer full backend power |
š ļø Step-by-Step Migration Plan
š¹ Step 1: Firestore Schema Design
- Converted relational tables into Firestore collections/subcollections
- Designed with shallow reads and denormalization
- Indexed every query in advance
š¹ Step 2: Auth Migration
- Exported user data from Supabase Auth
- Migrated to Firebase Authentication (email/password + Google sign-in)
- Rewrote auth rules and JWT logic
š¹ Step 3: Real-time Features
- Replaced Realtime Channels with Firestore snapshot listeners
- Used Cloud Functions for server-side triggers
š¹ Step 4: Background Jobs
- Moved cron jobs to Cloud Tasks + Pub/Sub
- Introduced retry + exponential backoff
š¹ Step 5: Analytics
- Plugged user events into GA4 + BigQuery for instant insights
- Created custom dashboards for churn & retention
š¹ Step 6: Zero Downtime Strategy
- Ran Firebase + Supabase in parallel for 2 days
- Used a syncing script to dual-write
- Switched traffic over at midnight using DNS + version flag
š Results After Migration
Metric | Before (Supabase) | After (Firebase + GCP) |
|---|---|---|
API Latency | ~900ms | ~350ms |
Uptime | 99.3% | 99.99% |
Hosting Cost | $980/month | $460/month |
Developer Time | 10-15 hrs/week on infra | 1-2 hrs/week (serverless stack) |
šÆ Client Feedback:
> "This was the smoothest migration we've ever done. Our app is faster, cheaper, and easier to manage. Huge thanks to the team!"
š§ Should You Migrate?
You should consider switching from Supabase to Firebase + GCP if:
- You need auto-scaling real-time DB without managing Postgres
- You want built-in analytics and cloud-native AI
- You're tired of devops and want a serverless backend
- You're scaling past 10K+ daily users
š¼ Work With Us
We specialize in complex backend migrations, especially:
- Supabase ā Firebase
- Firebase ā GCP hybrid
- Monolith ā Microservices
You get:
- ā Migration plan
- ā Firestore schema design
- ā Cloud Run/API setup
- ā Zero-downtime strategy
- ā Testing & post-launch support
š Ready to Migrate?
> Let's talk about your app. We'll review your stack and show you how to scale it without stress.