Pricing for Neon
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
- Developer workflow becomes a bottleneck for shipping
- Need fast environment creation for previews and CI
- Need branching/ephemeral database workflow to reduce friction in development and testing
What gets expensive first
- Production requirements must be validated early (limits, performance, observability expectations)
- Operational model differs from traditional managed Postgres
- Cost predictability can change quickly as branches and environments multiply
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
- Usage-based - compute + storage - Costs rise with active compute time, storage growth, and branching usage.
- Limits - concurrency matters - Connection limits and compute sizing drive which tier fits production.
- Workflow - branching/ephemeral envs - Great for dev speed, but validate production limits early.
- Official pricing: https://neon.tech/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Something outdated or wrong?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.