Decision finder result — Object Storage Personalized recommendation

Start with archive-friendly economics (validate restore behavior)

For backup and archival workloads — data written once and rarely accessed — independent providers like Wasabi and Backblaze B2 offer 3-5x lower storage costs than S3 with zero or near-zero egress for recovery. The trade-off is a smaller ecosystem, less geographic coverage, and less mature lifecycle management tooling. Wasabi's 90-day minimum retention billing is the main gotcha — short-lived backup data or rapidly-overwritten files become expensive. For data you store for months at a time and rarely read, the cost savings are hard to argue against.

How this works: Based on common constraint patterns, we match you to the operating model and products that typically fit. Verify against your specific requirements.
  • Recommendation: Wasabi, Backblaze B2
See all Object Storage products
Start with archive-friendly economics

Recommended starting points

Based on your constraints, these products typically fit best. Read each decision brief to confirm pricing behavior and limits match your reality.

Recommended

Wasabi

Cost-driven, S3-compatible object storage commonly evaluated for backups and large storage footprints. Buyers choose it when predictable storage economics matters more than hyperscaler ecosystem bread

Recommended

Backblaze B2

Cost-driven object storage for backups and media libraries, often evaluated versus Wasabi and S3 when the decision is pricing mechanics (egress + requests) rather than raw storage price.

Why this recommendation

For backup and archival workloads — data written once and rarely accessed — independent providers like Wasabi and Backblaze B2 offer 3-5x lower storage costs than S3 with zero or near-zero egress for recovery. The trade-off is a smaller ecosystem, less geographic coverage, and less mature lifecycle management tooling. Wasabi's 90-day minimum retention billing is the main gotcha — short-lived backup data or rapidly-overwritten files become expensive. For data you store for months at a time and rarely read, the cost savings are hard to argue against.

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