Google Cloud Platform vs Supabase

- ✦ Compute Engine
- ✦ Cloud Storage
- ✦ Cloud Functions

- ✦ PostgreSQL Database
- ✦ Authentication
- ✦ File Storage
Google Cloud Platform and Supabase are both Cloud Hosting tools. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose Google Cloud Platform vs Supabase
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.
Supabase RLS policies enforce tenant data isolation at the database level, serving a single Postgres table to all customers without application-layer filtering code.
Supabase Realtime broadcasts Postgres table changes via WebSocket to subscribed clients, adding live collaboration or notification features without a separate message broker.
Supabase Auth integrates with Postgres RLS through the built-in auth.uid() function, wiring user identity to database row permissions without a separate identity service.
Pricing Comparison & PlansHigh· Verified Jul 2, 2026
Always Free
Free- ✓Free usage of Compute Engine (1 e2-micro instance/month)
- ✓Free usage of Cloud Storage (5 GB-months Standard Storage)
- ✓Free usage of BigQuery (1 TB queries/month)
- ✓Free usage of Cloud Run (2 million requests/month)
- ✓Free usage of Google Kubernetes Engine (1 Autopilot or Zonal cluster/month)
Pay-as-you-go
Contact SalesBest for: Custom pricing for Compute Engine from $0.006/hr, Cloud Storage $0.020/GB
- ✓Access to all Google Cloud products
- ✓Billed for actual resource usage
- ✓No upfront costs
- ✓No termination fees
- ✓Pricing varies by product and usage
Committed Use Discounts
Contact Sales- ✓Significant discounts for 1-year or 3-year commitments
- ✓Up to 70% savings on Compute Engine
- ✓Predictable costs for stable workloads
- ✓Available for various Google Cloud services
Free
FreeBest for: Passion projects / simple sites
- ✓Up to 2 active projects
- ✓500MB database space
- ✓1GB file storage
- ✓50,000 monthly active users (MAU)
- ✓500MB upload limit
Pro
$25/moBest for: Production apps
- ✓8GB database space included
- ✓100GB file storage included
- ✓100,000 monthly active users (MAU)
- ✓Daily backups retained for 7 days
- ✓No project pausing
Capability Breakdown
9 differences found across 18 standardized features
- •Compute Engine
- •Cloud Storage
- •Cloud Functions
- •Cloud Run
- •Kubernetes Engine (GKE)
- •BigQuery
- •Cloud SQL
- •Firestore
- •Vertex AI
- •Cloud CDN
- •VPC Networking
- •IAM
- •Monitoring
- •API Management
- •100+ Services
- •PostgreSQL Database
- •Authentication
- •File Storage
- •Edge Functions
- •Realtime Subscriptions
- •Row Level Security
- •REST API Auto-generated
- •GraphQL
- •Database Backups
- •Connection Pooling
- •Vector/pgvector
- •Full Text Search
- •Dashboard
- •CLI
- •Self-Hosting
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
- +Industry-leading AI/ML services like Vertex AI and BigQuery ML
- +Superior global private fiber network for low latency and high speed
- +Live migration for virtual machines enables updates with zero downtime
- +Per-second billing and sustained use discounts offer cost efficiency
- +Exceptional data analytics and warehousing with BigQuery
- −Smaller global datacenter footprint compared to AWS and Azure
- −Complex pricing structure can be difficult to forecast and manage
- −Less enterprise-focused support and documentation than competitors
- −Steeper learning curve for users not familiar with Google's ecosystem
- −Market share trails AWS/Azure, leading to a smaller talent pool
- +Direct PostgreSQL access with full SQL and extension support
- +Auto-generated REST and GraphQL APIs from your database schema
- +Open source core allows for self-hosting and no vendor lock-in
- +Integrated row-level security (RLS) for fine-grained data access
- +Generous free tier includes two organizations and 500MB database
- −No built-in serverless functions for complex backend logic (requires Edge Functions)
- −Realtime server is single-region, potentially increasing latency for global users
- −Steeper learning curve for developers unfamiliar with PostgreSQL and RLS
- −Managed platform lacks some advanced Postgres configurations (e.g., pgbouncer)
- −Cloud Functions are Deno-based, which has a smaller ecosystem than Node.js
At a Glance
Recent Price History
Google Cloud Platform added a new "Sustained Use Discounts" plan (Custom pricing)
Plan added · May 28, 2026
Google Cloud Platform added a new "Spot VMs" plan (Custom pricing)
Plan added · May 28, 2026
Google Cloud Platform removed the "Committed Use Discounts (CUD)" plan
Plan removed · May 28, 2026
Google Cloud Platform added a new "Committed Use Discounts" plan (Custom pricing)
Plan added · May 28, 2026
Google Cloud Platform removed the "Free Tier" plan
Plan removed · May 21, 2026
Supabase added a new "Enterprise" plan
Plan added · May 21, 2026
Frequently Asked Questions
Related Comparisons
Sources & Data Trail · Google Cloud Platform
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-02)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.5/5 · 83,794 reviews
- 4.Capterra·Capterra verified reviews · 4.6/5
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Sources & Data Trail · Supabase
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-02)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.7/5 · 47 reviews
- 4.TrustRadius·TrustRadius verified reviews
- 5.PeerSpot·PeerSpot enterprise peer reviews
