Pricing for Wasabi
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 stronger enterprise governance and compliance integration
- Need deeper adjacency to hyperscaler analytics/ML ecosystems
- Need broader global footprint for latency-sensitive user delivery
What gets expensive first
- Access pattern (egress + requests) can change economics more than storage volume
- Policy minimums and retrieval expectations can surprise restore-heavy workflows
- S3-compatibility doesn’t guarantee parity for advanced features and edge cases
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
- Pricing - Storage-focused - Validate policy terms and egress assumptions on official pricing page
- Use cases - Backups/archives - Best when footprint is large and access is predictable
- Compatibility - S3-compatible - Verify any advanced features you depend on
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Something outdated or wrong?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.