How to Cut Storage Costs without Cutting Data Protection
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TrendForce projects that NAND Flash contract prices will rise 15-20% quarter over quarter in the fourth quarter of 2026, and it expects enterprise SSD price growth to accelerate. Gartner has told heads of infrastructure and operations to budget for 250% to 300% of their 2025 storage spend in 2027, as reported by Blocks & Files. The usual reaction is to look for protection to trim: fewer copies, shorter retention, a smaller immutable tier. That is the wrong place to cut.
The safer response is to buy less data. ROT data is redundant, obsolete or trivial data: duplicate copies, information past its useful life and files that never had business value. Every terabyte of it sits on premium media and is copied into snapshots, replicas and backups, so it is paid for several times over. This article sets out where to cut, where to tier and where never to touch, in an order that keeps the recovery path intact. The sources are TrendForce’s fourth-quarter 2026 memory price outlook, analyst and survey data, and the standards that govern retention and ransomware resilience.
Why Flash Prices Make Storage Waste Expensive
TrendForce attributes the pressure to AI server demand. It expects enterprise SSD bit demand to grow more than 80% year over year in 2026, while most new supply is already committed. Buyers who wait for relief are unlikely to find it soon.
IDC reaches the same conclusion from the buyer side. In its Q2 2026 external enterprise storage tracker, the market reached $10.3 billion, up 33.6% year over year, and customers bought less capacity while paying more. IDC does not expect any meaningful relief before 2028. Natalya Yezhkova, vice president of Storage and Data Management at IDC, put the dilemma plainly. “Storage systems are getting more expensive, and few customers have the luxury of waiting out the price cycle: the data must be accessible now.”
Storage is already a large share of the budget. In the Komprise 2026 survey of unstructured data management, which covered 300 US enterprise storage leaders at firms with 1,000 or more employees, 55% said they allocate more than 30% of their IT budget to storage. A price shock on top of that share lands on the board’s agenda.
The market has noticed the opportunity in existing capacity. A recent Blocks & Files report on reclaiming under-used storage shows the market reacting. Several suppliers now offer ways to move dated files off flash or to reuse old SSDs.
What is ROT Data and How Do You Find It?
ROT stands for redundant, obsolete and trivial. Redundant data is a duplicate or near-duplicate, such as ten copies of the same installer or a project folder copied to a second share. Obsolete data is information past its useful life, such as files from a retired application or a finished project with no retention requirement. Trivial data never had business value, such as personal media on a file server or temporary exports.
Veeam’s guide to ROT data minimization cites estimates that shadow data, much of which is ROT, makes up between 40% and 90% of all enterprise data. That range is an estimate, and no organization should assume its own figure without measuring. The same Komprise survey found that 74% of the US enterprise storage leaders it polled manage more than 5PB of unstructured data. Also, 56% named classifying and tagging that data as their top challenge in preparing it for AI.
Signals That Identify ROT Data
Five signals do most of the work. Age and last-access time show what has gone cold. Exact and near-duplicate matching shows redundancy. Orphaned ownership shows data whose creator has left and whose purpose is unknown. File type and location show personal media and temporary exports. Sensitive-content classification shows whether a file carries personal or regulated data that changes the deletion decision.
Analysis should be read-only. No file is moved or removed until a named data owner has decided whether to keep it, archive it or delete it. A quarantine step makes the same point in practice: isolate candidates, watch for objections, and delete only after a defined period.
ROT is also a compliance matter. Under GDPR Article 5, personal data must be adequate, relevant and limited to what is necessary. It may be kept only as long as the purposes of processing require. Stale files with personal data are a risk as well as a cost. Legal and regulatory questions belong with counsel, and nothing here is legal advice.
How Does Storage Tiering Cut Cost?
Storage tiering puts each data set on the cheapest media that still meets its access, retention and recovery needs. A hot tier of NVMe or enterprise SSD serves active data. A warm tier of SAS drives holds data that is read occasionally. A cold tier of high-capacity drives holds archives and long-term retention. Tape or cloud object storage provides extended offsite retention. Moving a terabyte of rarely read data from the first tier to the third removes it from the most expensive media without removing it from the organization.
A good tiering policy uses four inputs: access frequency, data age, retention requirement and the role the data plays, whether production, backup copy or archive. A policy built on age alone can push a quarterly report set to cold storage the week before the quarter closes.
Cloud Cold Tiers Have Trade-Offs
A cloud cold tier is attractive because it frees local capacity. Its costs are harder to see. Retrieval charges and retrieval speed depend on the provider, the tier selected, the network path and the access pattern. A data set that is read once a year is a good candidate. A data set that is restored every month may cost more to pull back than it saved to store. Test with real restore requests before moving a backup tier to the cloud. Include egress in the cost model.
Migrate After Read-Only Analysis
Run the analysis first. Then move data in waves. Start with data that has not been accessed for the longest period and whose owners have signed off. Confirm that applications and users can still reach the data. Keep the previous copy until a restore from the new tier has been tested.
NIST’s Security Guidelines for Storage Infrastructure, SP 800-209, is a useful reference for tier design. It covers data protection, isolation, restoration assurance and encryption for storage, and each tier you add should meet the same protection baseline as the one above it.
Keep Retention, Legal Hold and Immutability Intact
The cut, tier and protect rule is simple. Cut data that has no retention or legal reason to exist. Tier data that must be kept but is rarely read. Never touch the copies that carry the protection promise: immutable copies, air-gapped copies, retention-bound records and anything under legal hold. Budget pressure decides how much data you buy. It does not change the retention schedule.
Can You Delete Data Under a Legal Hold?
No. When litigation is reasonably anticipated, an organization must take reasonable steps to preserve relevant electronically stored information. Rule 37(e) of the Federal Rules of Civil Procedure addresses the consequences when such information is lost because a party failed to take those steps. Only counsel can release a hold, and cleanup tooling must exclude held data until that release is on record. This is general information, not legal advice.
Why Immutable and Offline Copies Stay
Backups are the recovery path, and attackers know it. The CISA #StopRansomware Guide recommends maintaining offline, encrypted backups of critical data and regularly testing their availability and integrity. It also warns that ransomware variants attempt to find and then delete or encrypt accessible backups. Removing the immutable copy to save money removes the one copy an attacker cannot reach.
The evidence that backups matter is current. The Sophos State of Ransomware 2026 findings report that backup-based recovery rose to 66% of encrypted-data cases, up 12 percentage points from 2025. In a Sophos press release on the same research, the average recovery cost was $1.7 million per incident.
NIST’s SP 1800-25 on data integrity lists backups, secure storage, integrity verification and audit logging among the protective strategies against destructive events. The widely used 3-2-1-1-0 rule turns these into practice. Keep three copies of data on two kinds of media, with one copy offsite and one offline or immutable. Aim for zero errors after restore testing. None of the five numbers is a candidate for trimming. Test restores after every change to tiers, retention or copy design, because a saved terabyte means nothing if the restore fails.
Trim the Backup Copy Chain Without Weakening It
Does deduplication reduce backup storage costs? In most environments, yes, but the size of the reduction depends on the data. Deduplication removes repeated blocks, compression shrinks what remains, and thin provisioning allocates capacity on demand instead of reserving it in advance. No honest vendor can promise a fixed ratio, because encrypted, compressed or already-unique data reduces very little. Measure on your own data before building a business case.
Copy sprawl is the second lever. Snapshots accumulate, retention periods lengthen without review, and replicas are kept long after the project that required them ended. Each copy of a ROT file multiplies its cost. Review snapshot schedules and retention periods against the actual retention policy. Remove the copies that exceed it. Do not remove the copies that satisfy it.
Three checks keep optimization from becoming a weakness. First, confirm that deduplication and compression work with encryption and immutability, not around them. Second, set capacity alerts when you use thin provisioning, since an over-committed pool can fill fast. Third, treat the immutable and air-gapped copy as a separate cost line, protected from the optimization effort.
How StoneFly Supports a Lean, Protected Footprint
StoneFly does not provide ROT discovery or classification. Finding redundant, obsolete and trivial data requires a data-classification process, and the steps above assume that process exists. What StoneFly provides is the storage and protection layer that holds what remains.
StoneFly DR365V is a Veeam Ready air-gapped and immutable backup and disaster recovery solution that supports a customizable mix of NVMe SSDs, enterprise SSDs, enterprise SAS drives, high-capacity hard drives, tape targets and cloud storage. NVMe holds hot-tier data, SAS holds less frequently accessed backup data, high-capacity drives hold archives, and tape or cloud extends offsite retention. Capacity and media depend on configuration.
StoneFly DR365H is a backup and recovery platform with block-level deduplication, run inline and post-process, plus thin provisioning and cloud replication and tiering to major public clouds and StoneFly private cloud storage. Its patented Air-Gapped Vault® keeps protected data immutable during the configured retention period. The setup guide for immutable file-level WORM and the explanation of object lock for compliance and security cover the protection mechanisms in more depth.
For unstructured data, StoneFly Super Scale Out (SSO) NAS offers deduplication, compression, thin provisioning, automated hot and cold tiering, programmable recycle-bin policies and directory quotas, depending on architecture and configuration. Actual reduction depends on the workload, so there is no fixed deduplication ratio.
StoneFly Smart Cloud Gateway pairs a local hot tier with a cloud cold tier under policy-based tiering. This can reduce the local capacity needed for inactive data. Retrieval performance and cloud-service charges depend on the provider, tier, network and access pattern, and the gateway is not a complete backup engine.
For regulated retention, StoneFly FlexStor ScaleHA can be configured to support retention and legal-hold requirements, with encryption, immutability, WORM, access controls and audit trails. Compliance depends on the complete customer implementation, policies, operations and controls.
A Practical Sequence for the Next Quarter
Classification comes before deletion, deletion before tiering, and copy-chain changes last, with restore tests at the end of each step. Each step has one success measure that needs no invented numbers.
- Baseline spend and growth. Record current capacity by tier and the growth rate of each major data set. Success is a number finance accepts as the starting point.
- Run a read-only ROT analysis. Use age, last access, duplicates, ownership and sensitive-content signals. Success is a candidate list with no files modified.
- Obtain owner sign-off with a retention and legal-hold check. Success is a signed decision for each candidate group and a hold register confirmed with counsel.
- Quarantine, then delete. Success is a defined quarantine period completed with no objections, followed by removal that can be shown in an audit log.
- Tier cold data. Success is cold data reachable through its original path from a cheaper tier, with a restore test passed.
- Optimize the copy chain and test restores. Success is fewer redundant copies, an untouched immutable copy and a restore that completes within the recovery target.
Conclusion: Remove Waste, Keep the Recovery Path
Rising flash prices are a reason to remove waste, not protection. ROT data, cold data and bloated copy chains can be reduced in a controlled sequence, while immutable, air-gapped, retention-bound and legal-hold copies stay exactly as they are. The IDC outlook of no meaningful relief before 2028 means the savings from this work compound for several budget cycles.
The next step is a design review of tiers, retention and the protected copy. To discuss one for your environment, contact StoneFly for a tiering and protection design review.