Calculator inputs
Use the inputs below to model object storage, backups, replication, requests, transfer, and fixed platform charges.
Formula used
The calculator estimates monthly spend in layers so you can see where storage economics change.
optimized_storage_gb = logical_storage_gb ÷ compression_ratio
average_primary_gb = optimized_storage_gb × (1 + monthly_growth_pct ÷ 200) × (usage_days ÷ billing_days)
replicated_storage_gb = average_primary_gb × replication_factor
billable_primary_gb = max(min_billable_storage_gb, replicated_storage_gb + metadata_overhead_gb)
metadata_overhead_gb = replicated_storage_gb × metadata_overhead_pct ÷ 100
backup_storage_gb = average_primary_gb × backup_percent ÷ 100
monthly_total = primary_cost + backup_cost + read_cost + write_cost + egress_cost + fixed_fee + tax
Growth uses an average-month assumption, which suits planning and budgeting better than a single end-of-month snapshot.
How to use this calculator
- Enter your logical stored data and choose GB, TB, or PB.
- Set compression or deduplication to reflect storage optimization.
- Enter replication, growth, metadata overhead, and any minimum billable storage.
- Add primary and backup rates based on your provider pricing sheet.
- Include read requests, write requests, monthly egress, and fixed charges.
- Adjust billing days, usage days, tax, users, and environments for better attribution.
- Submit the form to see the result above the calculator.
- Use the CSV or PDF buttons to keep a copy of the estimate.
Example data table
These sample profiles use the same formulas as the calculator, so you can compare common software storage patterns.
| Scenario | Logical data | Replication | Growth | Backup | Egress | Estimated monthly cost |
|---|---|---|---|---|---|---|
| Small SaaS API | 250 GB | 3× | 8% | 25% | 40 GB | USD 34.09 |
| Media Delivery App | 4 TB | 2× | 15% | 20% | 900 GB | USD 315.92 |
| Log Retention Stack | 1.6 TB | 3× | 20% | 10% | 150 GB | USD 126.42 |
| Archive and Backup Tier | 12 TB | 1× | 4% | 100% | 20 GB | USD 121.80 |
Why this estimate is useful
Monthly storage cost is rarely just capacity multiplied by a rate. Real budgets change with replication, backup policies, request volume, egress, growth, and internal cost allocation. This calculator helps software teams size infrastructure decisions before releases, migrations, and retention changes.
Frequently asked questions
1. What does logical storage mean here?
Logical storage is the original dataset size before compression, deduplication, replication, or metadata overhead. It is the easiest starting point for planning monthly storage spend.
2. Why is compression ratio set to at least 1?
A ratio of 1 means no size reduction. Values above 1 indicate optimization. Lower values would incorrectly inflate storage after optimization, so the minimum stays at 1.
3. Why does growth use half of the monthly percentage?
The calculator assumes storage grows roughly across the month, not all at once. Using half the growth rate estimates average billable volume during the billing period.
4. Should I include backup storage separately?
Yes. Backup and snapshot tiers often use different prices and retention rules. Separating backup cost gives a more realistic monthly estimate than blending it into primary storage.
5. What belongs in metadata overhead?
Use metadata overhead for indexes, version manifests, thumbnails, checksums, lifecycle markers, and similar storage extras that increase billed capacity beyond core objects.
6. When should I use minimum billable storage?
Use it when your provider enforces a floor, reserved commitment, or bundled capacity. It prevents underestimating cost for lightly used or newly launched systems.
7. Are request charges important for storage planning?
They can be. Heavy read or write traffic, especially in file services, logs, or media systems, may add meaningful cost even when raw stored capacity stays stable.
8. Can I use this for per-user pricing decisions?
Yes. Add active users to estimate storage cost per user. That is helpful when reviewing product margins, plan limits, and infrastructure allocation across environments.