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17/08/2026 4:36 pm
TL;DR: A data protection gearing ratio, defined as protected capacity divided by full-time administrators, offers a more defensible way to judge platform efficiency than subjective claims about simplicity or legacy measures like backup jobs per person, according to Commvault. The real value is in comparing the ratio before and after migration, because environment complexity can mask or amplify operational change.
NHIMG editorial — based on content published by Commvault: Data protection gearing ratio turns platform simplicity into a metric
By the numbers:
- Commvault's own production environment protects 42.39 PB of application data on 9.26 PB of physical disk, an 81.91% space savings from deduplication and compression.
- Commvault runs its own production backup environment on 42.39 PB of protected capacity with two FTEs.
- Industry benchmarks for modern platforms typically land between 5 and 25 PB per FTE, depending on environment complexity.
Questions worth separating out
Q: How should teams measure whether a data protection platform is actually easier to run?
A: Use a protected capacity per FTE ratio, not subjective claims or backup job counts.
Q: Why do traditional backup jobs per administrator metrics fail in modern environments?
A: Because automation has broken the link between job count and manual effort.
Q: What makes a data protection ratio hard to interpret without context?
A: Multi-cloud scope, cyber recovery design, and compliance-heavy workloads can all lower the ratio without indicating poor management.
Practitioner guidance
- Baseline your current gearing ratio Calculate protected capacity divided by full-time administrators across the environment you actually run today.
- Separate logical capacity from physical storage Track uncompressed protected data, deduplicated footprint, and current disk use as three different measures.
- Set a post-migration target ratio Define the outcome you expect from a new platform before procurement closes, then require the same metric to be reported 12 months after go-live.
What's in the full article
Commvault's full article covers the operational detail this post intentionally leaves for the source:
- A worked example of how the data protection gearing ratio is calculated from protected capacity and staffing
- The distinction between protected capacity, physical disk, and total data written in a production environment
- How to use the ratio as a baseline before migration and as a validation metric 12 months after deployment
- The business-case framing for asking vendors to commit to measurable operational outcomes
👉 Read Commvault's analysis of the data protection gearing ratio and operational efficiency →
Data protection gearing ratio: what it means for backup teams?
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17/08/2026 4:43 pm
Operational efficiency in resilience programmes needs a harder metric than simplicity claims. The article is right to challenge qualitative language, because infrastructure decisions should be evaluated through measurable workload, not vendor-style comfort statements. In resilience and backup operations, the real question is how much data a team can protect per administrator without losing control quality. Practitioners should treat this as a governance problem, not a marketing problem.
A question worth separating out:
Q: How should procurement teams use operational metrics in vendor evaluations?
A: Ask vendors to commit to measurable outcomes before implementation and to confirm them after go-live. The point is to tie buying decisions to evidence, so the organisation can prove whether the platform reduced operational burden instead of relying on demonstrations or impressions.
👉 Read our full editorial: Data protection gearing ratio turns platform simplicity into a metric
