Pricing behavior — Relational Databases
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Pricing
Pricing for Supabase Database
How pricing changes as you scale: upgrade triggers, cost cliffs, and plan structure (not a live price list).
Sources linked — see verification below.
Freshness & verification
Pricing behavior (not a price list)
These points describe when users typically pay more and what usage patterns trigger upgrades.
Actions that trigger upgrades
- Need faster iteration with integrated platform tooling around Postgres
- Need a managed relational core without building full infra stack
- Need a platform-oriented workflow around Postgres to ship faster with fewer moving parts
What gets expensive first
- Platform coupling should be an explicit decision
- Validate scaling/limits and operational expectations early
- Have an explicit migration/exit plan if you later need hyperscaler-native governance
- Production operations still require ownership (governance, access control, incident response)
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Plans
- Platform tiers - bundled - Database is usually packaged with the broader Supabase platform (project-based tiers).
- Compute + storage - scale drivers - Instance size, storage, and backups/replicas drive spend as you scale.
- Production readiness - validate limits - Concurrency, connection pooling, and HA options matter for real workloads.
- Official pricing: https://supabase.com/pricing
Next step: constraints + what breaks first
Pricing tells you the cost cliffs; constraints tell you what forces a redesign.
Open the full decision brief →Sources & verification
Pricing and behavioral information comes from public documentation and structured research. When information is incomplete or volatile, we prefer to say so rather than guess.