Google Cloud Platform icon

Google Cloud Platform

★★★★ 4.4
VS
Supabase icon

Supabase

★★★★★ 4.7
Feature Google Cloud Platform Supabase
Pricing Free / from $0/mo Free / from $25/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.4 / 5 4.7 / 5
Best For data-teams, kubernetes-users, ai-ml-teams, startups developers, startups, indie-hackers, full-stack-teams
Founded 2008 2020
Compute Engine
Bigquery
Kubernetes Gke
Cloud Functions
Vertex Ai
Cloud Storage
Firebase
Postgres Database
Authentication
Edge Functions
Real Time
Storage
Vector Embeddings
Self Hosting

✓ Google Cloud Platform Pros

  • Best-in-class data and analytics tools (BigQuery)
  • Leading Kubernetes offering (GKE) from its creators
  • Clean, modern console and developer experience
  • $300 free credits for new accounts

✗ Google Cloud Platform Cons

  • Smaller service catalog than AWS
  • Enterprise support and sales lag behind AWS/Azure
  • History of deprecating services concerns users

✓ Supabase Pros

  • Full Postgres with SQL access
  • Generous free tier (500MB, 50K monthly active users)
  • Auth, storage, and edge functions included
  • Open-source and self-hostable

✗ Supabase Cons

  • Can be complex for non-developers
  • Pauses inactive free projects after 7 days
  • Real-time can be expensive at scale

The Verdict

Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. Supabase targets developers and startups and leads with postgres-database and authentication.

On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $25/mo for Supabase. That $25/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

Bottom line: Supabase has a slight overall edge — but if best-in-class data and analytics tools (bigquery) matters most to you, Google Cloud Platform may still be the right call.

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