Pricing for Supabase Database
How pricing changes as you scale: upgrade triggers, cost cliffs, and plan structure (not a live price list).
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.
- 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
Compare pricing trade-offs head-to-head
Use these comparisons when you are down to two finalists and need a clearer trade-off view.
Next step: constraints + what breaks first
Pricing tells you the cost cliffs; constraints tell you what forces a redesign.
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.
Something outdated or wrong? Pricing, features, and product scope change. If you spot an error or have a source that updates this page, send us a correction. We prioritize vendor-verified updates and linkable sources.