Pricing behavior — Relational Databases
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Pricing
Pricing for CockroachDB Cloud
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 resilience patterns and scaling beyond single-region Postgres assumptions
- Need to reduce single-region database risk
- Need a scale path where higher availability is a hard requirement (not a nice-to-have)
What gets expensive first
- Operating model changes: distributed SQL requires disciplined modeling and validation
- Not every workload benefits; cost/complexity can be overkill early
- The decision is about scale path and resilience—not just “Postgres compatibility”
- You need organizational maturity to operate the model successfully
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Plans
- Compute + storage - primary drivers - Pricing usually scales with compute size, storage, and traffic patterns.
- High availability - replicas/backups - Reliability features add cost but reduce operational risk.
- Governance - migrations/ops - Performance tuning and migration ownership remain your responsibility.
- Official pricing: https://www.cockroachlabs.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.