Google Cloud (GCP) vs Supabase

• Google Cloud SQL scales from $7.11/mo to $230.00/mo, offering up to 16 GB of RAM, while Supabase targets a broader spectrum from free tiers up to $7460.00/mo for massive 256 GB RAM instances.
• Storage overages are cheaper on Google Cloud at $0.08/GB compared to Supabase, which charges $0.13/GB for additional disk space.
• Both providers share an identical egress penalty of $0.09/GB, meaning your network transfer costs remain consistent regardless of the underlying database choice.
• Supabase provides significantly higher potential vCPU counts, peaking at 128 vCPU cores, whereas Google Cloud caps out at 4 vCPU cores for these specific managed database configurations.

Google Cloud SQL relies on standard persistent disk backends typical of enterprise-grade cloud environments, which work well for predictable workloads that do not require massive vertical scaling. The 10 GB to 200 GB storage range provided by Google is often sufficient for traditional relational schemas that do not involve heavy binary large object storage. In contrast, Supabase uses a tiered approach that allows for extreme vertical scaling, though the limited included storage on their smaller tiers necessitates careful management of your data footprint. While Google offers a more stable cost floor for standard Postgres deployments, Supabase offers the headroom required for high-concurrency applications that eventually outgrow the 16 GB RAM limit found on the mid-tier Google Cloud instances.

Choosing between these two depends on your growth trajectory and hardware needs. Google Cloud is the straightforward choice for standard production databases where storage costs are the primary concern and vertical scaling beyond 4 vCPU is unnecessary. Supabase is the better fit if your architecture demands high-performance compute and large memory buffers, provided you are willing to accept the higher storage premiums associated with their managed Postgres environment.