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Storage Cost Savings with Analytics + Tiering

storagecostsavings_resource_thumbnail_800x533Data is Growing, Budgets Are Not

Enterprise IT organizations are storing petabytes of file data, growing at
20-60% annually, driving up costs.

  • Storage is only 25% of the total cost due to 3x copies
    for backup, ransomware.
  • 80% of data is cold but you lack visibility and
    showback to get buy-in.
  • Proprietary storage tiering doesn’t shrink backup
    costs and brings massive rehydration costs when
    switching vendors.

Read this solution brief to learn how Komprise, with Transparent Move Technology (TMT), delivers analytics across
data storage silos, automation with policy-based unstructured data management, and no lock-in data movement.

Read Solution Brief

For more industry trends, read the latest State of Unstructured Data Management report.

How can organizations reduce storage costs without buying new hardware?

Enterprise IT organizations can lower storage costs by identifying inactive or cold unstructured data and moving it to lower-cost object, cloud, or secondary storage instead of expanding premium NAS or flash systems. Komprise helps automate this process while preserving transparent user access. Learn more about Komprise Transparent Move Technology (TMT). Komprise uses its Global Metadatabase to analyze file data across silos and identify the best opportunities for tiering, cleanup, optimization, metadata enrichment, and AI ingestion at scale.

Why are storage costs rising so quickly now?

Storage costs are increasing due to rapid unstructured data growth, rising NAND flash and SSD prices, backup sprawl, ransomware protection copies, and growing AI infrastructure demands competing for budget. Many organizations are unknowingly storing stale data on premium systems because they lack metadata-driven visibility into what they own and are paying premium rates to store inactive data.

How does Komprise help cut storage and backup costs?

Komprise analyzes file data across storage silos, identifies cold data, and transparently tiers it to lower-cost storage. This reduces primary storage growth, shrinks backup footprints, lowers DR costs, and improves ROI without disrupting users or applications. Komprise Smart Data Workflows can automate actions such as archiving, deleting expired data, tagging sensitive files, and routing data to the right storage tier, reducing both infrastructure and operational costs as well as ensuring the right unstructured datasets are delivered to AI.

What is Komprise Flash Stretch?

Komprise Flash Stretch is an assessment service that identifies how much expensive primary flash capacity can be reclaimed through intelligent tiering and lifecycle management. It helps organizations extend existing storage investments and delay costly upgrades during periods of rising memory and SSD prices.

Can reducing storage costs also help AI initiatives?

Yes. Lowering unnecessary storage spend frees budget for AI priorities such as GPUs, compute, analytics, and data preparation. Komprise also helps identify and curate valuable unstructured data so organizations can use the right data for AI rather than paying to store unused data. Komprise helps prepare data for AI by using the Global Metadatabase to find valuable datasets, Smart Data Workflows to curate and deliver the right files, and KAPPA to enrich, transform, or mask data before it enters AI pipelines.