Backblaze Price Calculator

Backblaze Price Calculator

Estimate monthly and multi-month Backblaze B2 cloud storage costs in seconds. Enter your stored data, expected downloads, API transaction volume, and forecast period to see a clear cost breakdown and chart-driven projection.

Calculator

Average data stored during the month.
Estimated data egress downloaded in the month.
Typical API calls such as listing or reading metadata.
Included here for visibility. Assumed at no additional cost in this estimator.
This calculator uses common B2 planning assumptions: storage at $0.006 per GB-month, download at $0.01 per GB, and Class B transactions at $0.004 per 10,000 requests. Taxes, special contract pricing, and free allowances are excluded for a conservative estimate.

Enter your values and click Calculate cost to see your Backblaze estimate.

Expert Guide to Using a Backblaze Price Calculator

A Backblaze price calculator helps you translate raw storage numbers into a practical operating budget. That sounds simple, but cloud storage forecasting often becomes confusing because storage bills are not determined by one metric alone. Most teams know how much data they have today. Far fewer know their average monthly footprint, expected download traffic, retention growth, and API request volume. If you want a realistic estimate for Backblaze B2, you need all of those factors in one place. That is exactly why a good calculator matters.

At a high level, Backblaze B2 pricing is attractive because the storage rate is straightforward and typically lower than many alternatives for archive, backup, media libraries, and application object storage. But low headline pricing does not mean every workload costs the same. A company storing 20 TB of backup snapshots and downloading almost nothing will have a very different bill than a company storing 20 TB of product images that are constantly served to websites, apps, and internal teams. A high-quality Backblaze cost estimate must separate storage, data transfer, and transaction activity so you can see what actually drives spend.

This calculator focuses on practical planning. You enter the amount of data stored, the amount downloaded per month, Class B request activity, and a projection period. You can also apply a monthly growth rate to model what happens when backups expand, customer files increase, or retention policies become more demanding. Instead of a vague estimate, you get a monthly cost, a multi-month projection, and a visual chart that breaks the total into understandable components.

Why pricing accuracy matters for cloud backup planning

Storage decisions are not just finance decisions. They are business continuity decisions, cybersecurity decisions, and operational decisions. Agencies such as CISA and NIST consistently emphasize tested backups, resilient recovery processes, and continuity planning. If your budget estimate is too low, you may under-provision your backup strategy or delay retention improvements. If it is too high, you may reject a storage design that was actually cost-effective.

For example, a team comparing on-premises file servers against cloud object storage should not only ask, “What is the storage price per TB?” They should ask: How much data changes monthly? How often do we restore? How many API-driven operations do we run? How quickly is our dataset growing? A mature estimate converts those operational realities into a monthly and annual number. That makes the calculator useful not only for IT administrators, but also for finance teams, procurement stakeholders, and leadership.

The three main cost drivers in a Backblaze estimate

  1. Stored data: This is the average amount of data you keep in Backblaze during the billing month. If your dataset fluctuates, average monthly capacity matters more than your highest one-time peak.
  2. Downloaded data: If you restore often, distribute files externally, or serve content through applications, your data transfer cost can rise meaningfully even if your storage footprint remains stable.
  3. API transactions: Automated systems may generate a large number of list, read, and metadata operations. In many environments this is a small line item, but at scale it should still be modeled.

These inputs are why simple “price per TB” calculators are often not enough. They hide the behavior of the workload. This page gives you a more useful planning model because it separates the components and shows the result visually.

How this Backblaze price calculator works

The estimator on this page uses a common B2 planning assumption of $0.006 per GB-month of storage, $0.01 per GB of download, and $0.004 per 10,000 Class B transactions. Those rates can be converted into practical shorthand:

  • $6 per TB-month of stored data
  • $10 per TB of downloads
  • $0.40 per million Class B transactions

That shorthand is useful because most organizations think in TB for stored capacity and in monthly download volumes for restore activity, content delivery, or data sharing. The transaction cost is usually much smaller than storage and egress, but once your environment is highly automated, the request count is still worth monitoring.

Stored Capacity Monthly Storage Cost Annual Storage Cost Typical Use Case
100 GB $0.60 $7.20 Personal archive or lightweight app assets
500 GB $3.00 $36.00 Small team backup set
1 TB $6.00 $72.00 Starter media archive or historical logs
10 TB $60.00 $720.00 Growing business backup repository
50 TB $300.00 $3,600.00 Department-scale retention or analytics storage

The table above shows why Backblaze often appears attractive for backup-heavy workloads. If your organization stores a large amount of data but downloads it only occasionally, the storage portion remains easy to estimate and often highly competitive. However, you should not stop there. Download and usage patterns can still shift your total budget.

Why downloads can change your total more than expected

Downloads matter most in three common scenarios. First, your team performs regular restore tests or recovery drills. Second, your applications serve stored content directly to end users or downstream systems. Third, internal analysts, developers, or media teams repeatedly pull data sets for processing. In each case, your monthly egress may become a meaningful share of total spend.

That does not mean downloads are inherently bad. In fact, if your cloud storage helps teams recover faster, distribute content reliably, or collaborate more efficiently, paying for egress may still be worth it. The key is visibility. By separating storage from downloads, the calculator shows whether your bill is dominated by retained capacity or by access patterns.

Monthly Downloads Estimated Download Cost Approximate Impact at 10 TB Stored Planning Interpretation
100 GB $1.00 Small compared with $60 storage Storage remains the dominant line item
1 TB $10.00 About 16.7% of storage cost Egress is noticeable but still secondary
5 TB $50.00 About 83.3% of storage cost Download behavior now strongly affects budget
10 TB $100.00 Exceeds $60 storage cost Access-heavy workload may cost more in egress than storage

How to estimate your inputs more realistically

If you are unsure what numbers to enter, start with these practical methods:

  • Stored data: Use the average of beginning-of-month and end-of-month capacity if your data is steadily growing.
  • Downloads: Review restore logs, CDN origin pulls, analytics exports, or user delivery patterns for the last 60 to 90 days.
  • Class B transactions: Pull request counts from your application metrics, backup software reports, or object storage monitoring tools.
  • Growth rate: Use your last 6 to 12 months of storage growth to estimate a monthly percentage, rather than guessing.

If your business is highly seasonal, it may be smart to run the calculator multiple times with low, normal, and peak assumptions. That gives you a planning range rather than a single-point estimate.

Example scenario: backup repository for a 25-person business

Imagine a business stores 12 TB of endpoint and server backups in Backblaze B2, downloads 0.8 TB per month for restore tests and occasional recoveries, and generates 800,000 Class B transactions through automation and monitoring. Using this calculator’s assumptions, the estimated monthly cost would be approximately:

  • Storage: 12 TB × $6 per TB = $72.00
  • Downloads: 0.8 TB × $10 per TB = $8.00
  • Class B requests: 800,000 ÷ 10,000 × $0.004 = $0.32

That produces a monthly estimate of about $80.32, before taxes and any provider-specific allowances or negotiated pricing. Even with moderate restore activity, storage remains the dominant cost. This is why Backblaze is often attractive for classic backup and archive use cases.

Example scenario: media archive with frequent retrieval

Now imagine a media company stores 30 TB of source footage and graphics, but editors and workflows retrieve 8 TB every month. The cost profile changes significantly:

  • Storage: 30 TB × $6 per TB = $180.00
  • Downloads: 8 TB × $10 per TB = $80.00
  • Transactions: still usually minor unless API activity is extremely heavy

In this case, the storage line item is still larger, but egress is substantial enough that workflow optimization becomes valuable. Teams may choose to cache frequently used files, reduce repeated downloads, or redesign automated pull processes.

How growth affects annual budgeting

Many organizations underestimate how quickly a low monthly bill can scale when data grows steadily. A 5% monthly growth rate does not look dramatic in one month, but across a year it can materially change annual cost. This is especially relevant for surveillance data, compliance archives, application logs, product imagery, AI datasets, and long-retention backups.

That is why this calculator includes a growth selector. If your storage increases every month, your annual spend will not simply be twelve times your first-month estimate. The chart and projection help you plan for the real pattern, not a flat line that exists only on paper.

Backblaze price calculator best practices

  1. Run a baseline estimate using your current monthly average.
  2. Run a second estimate with projected growth for the next 12 months.
  3. Model a peak restore month to see how egress changes your budget.
  4. Separate business-critical data from less active archives so you understand which pool drives access costs.
  5. Review your assumptions quarterly, especially after migration, retention changes, or new application integrations.

Security, resilience, and compliance context

The financial side of cloud backup should always be considered alongside resilience guidance. The Ready.gov business continuity resources explain why continuity planning and tested recovery matter for real-world operations, while NIST guidance provides structured recommendations for contingency planning and backup readiness. A low storage bill is useful only if the system is recoverable, documented, and aligned with your risk posture.

From an operational standpoint, that means your estimate should support more than capacity. It should support a workable backup policy, retention target, and restore strategy. If the calculator reveals that your planned footprint is affordable, that may justify increasing retention or improving restore coverage. If it reveals that downloads are becoming expensive, that may point toward architectural optimization rather than cutting recovery capabilities.

Final takeaway

A Backblaze price calculator is most valuable when it acts as a decision tool, not just a math widget. The best estimate tells you what you will likely spend, why you will spend it, and which usage patterns matter most. For storage-heavy backup workloads, Backblaze B2 can be highly cost-effective. For access-heavy workloads, download behavior deserves much closer attention. By using the calculator above with realistic storage, egress, transaction, and growth assumptions, you can build a more accurate monthly and annual budget and make better cloud storage decisions with fewer surprises.

If you are comparing providers, preparing a migration, or presenting a budget to leadership, use the calculator for multiple scenarios rather than one static number. That gives you a practical range for normal, growth, and peak usage. Better estimates lead to better planning, and better planning leads to stronger backup resilience.

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