AWS RDS vs Supabase vs Neon Serverless PostgreSQL Database Cost Calculator
Model monthly PostgreSQL infrastructure expenses across AWS RDS (Single-AZ vs Multi-AZ), Supabase Pro Managed Postgres, and Neon Serverless Database with provisioned IOPS, storage auto-scaling, and auto-suspend compute.
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How to Use the Postgres Cloud Cost Calculator
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STEP 01Enter your database workload metrics: total storage volume in GB (e.g. 250 GB) and monthly outbound network egress (e.g. 500 GB).
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STEP 02Select your compute class (e.g. Medium 2 vCPU / 8 GB RAM) and high-availability configuration (Single-AZ vs Multi-AZ standby replica).
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STEP 03Configure the serverless compute duty cycle to model Neon auto-suspension savings during idle off-peak hours.
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STEP 04Review the itemized side-by-side cost breakdown comparing AWS RDS PostgreSQL, Supabase Pro, and Neon Serverless Database.
Frequently Asked Questions (Postgres Cloud Cost Calculator)
Why is AWS RDS often significantly more expensive than Supabase or Neon for startups?
AWS RDS bills separately for every component: instance hours ($0.154+/hr for db.m6g.large), provisioned gp3 storage ($0.115/GB), provisioned IOPS beyond 3000 ($0.02/IOPS), automated snapshots ($0.095/GB), and internet egress ($0.09/GB). In contrast, Supabase Pro bundles 8 GB storage, 50 GB egress, daily backups, and pgvector for a flat $25/month base fee.
How does Neon Serverless PostgreSQL handle auto-suspend and scale-to-zero?
Neon separates compute from storage. When an endpoint receives zero incoming connection queries for a configurable timeout (typically 5 minutes), the compute container automatically suspends. Storage remains persistent at $0.175/GB-mo. When a new query arrives, Neon wakes up within ~500ms, saving up to 80% on dev, test, and staging environments.
Does Supabase include connection pooling and pgvector out of the box?
Yes. Every Supabase PostgreSQL database includes built-in Supavisor connection pooling (handling tens of thousands of client connections without exhausting database RAM) and pre-installed extensions including pgvector for AI embedding search, PostGIS for geospatial data, and Row-Level Security (RLS).