Pricing behavior — Object Storage
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Pricing
Pricing for Wasabi
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 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.
Plans
- 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
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.