PocketBase vs Google Cloud (GCP)
A detailed comparison to help you choose between PocketBase and Google Cloud (GCP).
Quick Verdict
4.5/5
PocketBase
188 reviews
3.6/5
Google Cloud (GCP)
345 reviews
PocketBase is rated higher (4.5 vs 3.6). PocketBase is an open source backend consisting of a single executable file with embedded SQLite database, realtime subscriptions, auth, file storage, and an admin dashboard. 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.
PocketBase Open-source backend with built-in database and real-time APIs | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.5 (188 reviews)✓ | 3.6 (345 reviews) |
| Pricing model | free | freemium |
| Starting price | Free | Free tier available |
| Best for | Solo developers and small teams building web/mobile apps who want self-hosted backend simplicity without Firebase costs or vendor dependencies. | Data and AI/ML teams who need Google's TPUs, Vertex AI, and BigQuery for data-intensive workloads |
| Tags | ||
| Tags | free tieropen sourceself hostable | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit PocketBase → | Visit Google Cloud (GCP) → | |
PocketBase
Pros
- + Deploy as single executable with zero external dependencies
- + Generate REST and real-time APIs automatically from database schema
- + Manage data and users through built-in admin dashboard
- + Self-hosted and open-source—full control over data and infrastructure
Cons
- - SQLite backend limits horizontal scaling for high-concurrency applications
- - Smaller community and ecosystem compared to Firebase or Supabase
- - Self-hosting requires basic DevOps knowledge for production deployments
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
Stay in the loop
Get weekly updates on the best new AI tools, deals, and comparisons.
No spam. Unsubscribe anytime.