Supabase vs Google Cloud (GCP)
A detailed comparison to help you choose between Supabase and Google Cloud (GCP).
Quick Verdict
4.0/5
Supabase
92 reviews
3.6/5
Google Cloud (GCP)
345 reviews
Supabase is rated higher (4.0 vs 3.6). Supabase is a backend-as-a-service platform providing PostgreSQL databases, real-time subscriptions, authentication, and storage. Built for developers who want PostgreSQL's power without vendor lock-in. Google Cloud Platform offers Compute Engine VMs, GKE, Cloud Run serverless, BigQuery, and AI/ML services. Known for best-in-class data analytics and AI tools. Sustained use discounts auto-apply.
Supabase Open-source Firebase alternative with PostgreSQL | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (92 reviews)✓ | 3.6 (345 reviews) |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Teams building web/mobile apps who prefer PostgreSQL's relational model and want to avoid vendor lock-in. | Data and AI/ML teams who need Google's TPUs, Vertex AI, and BigQuery for data-intensive workloads |
| Specifications (entry plan) | ||
| CPU cores | 0 vCPU | — |
| RAM | 0 GB | — |
| Storage | 0 GB | — |
| Bandwidth | 0 TB/mo | — |
| SLA uptime | 99.9% | — |
| Data-center count | 12 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | United StatesUnited KingdomGermanySingaporeAustralia | — |
| Tags | ||
| Tags | free tiermanaged options3 compatibleeu datacenterus datacenterapac datacenterapi accessopen source | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit Supabase → | Visit Google Cloud (GCP) → | |
Supabase
Pros
- + Use standard PostgreSQL with full SQL support
- + Self-host or run on managed infrastructure
- + Real-time subscriptions with minimal latency
- + Built-in authentication and row-level security
- + Free tier sufficient for prototyping
Cons
- - Smaller ecosystem and community compared to Firebase
- - Self-hosting requires DevOps knowledge
- - Scaling to high concurrency requires manual tuning
Google Cloud (GCP)
Pros
- + Best AI/ML services — Vertex AI, TPUs
- + Sustained use discounts apply automatically
- + BigQuery for large-scale analytics
Cons
- - Complex pricing — sustained use discounts confuse billing
- - Less mature enterprise support vs AWS
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