Google Cloud PlatformvsSupabase
- ✦ Compute Engine
- ✦ Cloud Storage
- ✦ Cloud Functions
- ✦ PostgreSQL Database
- ✦ Authentication
- ✦ File Storage
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Cloud Functions process 50,000+ events per minute into BigQuery the moment files land in Cloud Storage - no ETL servers to manage, no idle compute costs.
Cloud Run scales REST APIs from zero to peak demand with per-request billing. At 100,000 monthly calls, costs land at $8–12 versus a $200 always-on VM.
Partition BigQuery tables by date and move 90-day-old data to Cloud Storage, cutting query costs 55% while keeping analysis of recent data under 3 seconds.
Pricing Intelligence
Google Cloud Platform Plans
Free tier available
You get $300 credit, Always-free products. What's locked behind the paywall: compute engine from $0.006/hr, cloud storage $0.020/gb. Good enough for solo use and evaluation.
Custom pricing for Compute Engine from $0.006/hr, Cloud Storage $0.020/GB. Always negotiate - ask for pilot pricing if testing with <50 seats, and push for annual discount commitments. Compare enterprise quotes against Kinsta's equivalent tier.
Supabase Plans
Free tier available
- • 2 projects
- • 500MB database
- • 1GB file storage
- • 8GB database
- • 100GB storage
- • Daily backups
- • SSO
- • Priority support
- • SLA
Feature Matrix
24 differences found across 31 standardized features
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
- +Free plan available
- +API access for custom integrations
- +AI-powered features built in
- −Requires technical knowledge for optimal setup
- −Some advanced features locked behind higher tiers
- +Full PostgreSQL flexibility vs Firebase's NoSQL
- +Excellent developer experience
- +Generous free tier
- +Open source and self-hostable
- −Less mature ecosystem than Firebase
- −Cold starts on free tier
- −Complex RLS policies for beginners