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With an exponential development in unstructured knowledge, enterprises are dealing with a brand new set of challenges that demand modern options. Unstructured knowledge, similar to emails, movies, paperwork, and machine-generated info, now constitutes roughly 80% of all knowledge inside organizations. If unstructured knowledge just isn’t managed correctly, it could possibly result in inefficiencies, rising prices, and missed alternatives.
Unstructured knowledge administration (UDM) options are proving essential in addressing these points. They remodel what appears to be chaotic knowledge repositories into enterprise property. Some UDM options have developed from easy storage techniques into complete platforms that may manage, analyze, and safe huge quantities of unstructured knowledge.
Over 30% of IT budgets in most organizations are spent on storage prices, based on GigaOM, a analysis agency centered on know-how evaluation. With knowledge volumes rising at 55–65% yearly, companies should discover methods to cut back these prices whereas uncovering the hidden potential of their unstructured knowledge.
The just lately launched 2025 GigaOM Radar for Unstructured Information Administration report evaluates 22 high distributors to assist companies select options that scale successfully, improve safety, and ship actionable insights. By evaluating a variety of capabilities, the report affords essential steering for managing unstructured knowledge and turning challenges into alternatives.
GigaOM acknowledged Arcitecta, Cohesity, Hammerspace, and Komprise because the main UDM options suppliers for 2025. These distributors scored the best common scores throughout the analysis standards, which included value, efficiency, scalability, flexibility, ecosystem integration, and manageability.
The report additionally consists of the GigaOM Radar chart that plots distributors primarily based on maturity, platform play, innovation, and have play. This 12 months’s outperforming distributors within the GigaOM Radar chart included BigID, Hammerspace, and Cohesity.
GigaOM did emphasize that there isn’t a common “greatest” or “worst” choices, as every UDM resolution affords one thing that would work for particular buyer wants. It encourages organizations to think about their particular necessities when evaluating distributors and choosing probably the most appropriate resolution.
GigaOM Radar Chart Supply: GigaOM
A key focus for this 12 months’s GigaOM report was to transcend primary storage administration capabilities for the analysis standards. GigaOM included options similar to metadata dealing with, superior search performance, AI-powered classification, and seamless integration with present techniques in its evaluation framework.
“This 12 months’s report marks a big evolution in our evaluation strategy,” as outlined within the report. “We’ve consolidated our beforehand separate infrastructure and enterprise use case stories in a unified analysis framework.”
“The mixing displays the market’s maturation and recognition that technical capabilities and enterprise outcomes are inextricably linked within the UDM area. The consolidated strategy offers determination makers with a extra complete view of the best way infrastructure options translate straight into enterprise worth.”
The report additionally recognized totally different market segments and deployment fashions to evaluate how the UDM options are designed to satisfy numerous wants. It categorized the market into infrastructure-focused and business-focused segments, and deployment choices included user-managed techniques and SaaS platforms.
GigaOM acknowledged Cohesity as an impressive performer for the fifth consecutive 12 months. The platform was acknowledged for its innovation, safety, scalability, and talent to ship a unified expertise. Notable options embody Built-in S3 View, enhanced SmartFiles capabilities, immutable snapshots, zero-trust structure, and AI-driven ransomware detection, reinforcing Cohesity’s robust place within the unstructured knowledge administration area.
In December 2024, Cohesity finalized its acquisition of Veritas’ enterprise knowledge safety enterprise. GigaOM says this can assist Cohesity “leap ahead out there subsequent 12 months.”
Arcitecta additionally carried out strongly in GigaOM’s report. The corporate acquired recognition for its strong knowledge administration capabilities and its modern strategy to dealing with unstructured knowledge throughout various environments. Its options provide flexibility and flexibility, serving to organizations effectively handle complicated knowledge.
“For unstructured knowledge administration, Arcitecta stands out with its refined metadata analytics, distinctive efficiency, and superior orchestration capabilities,” mentioned Whit Walters, discipline CTO at GigaOM. “Arcitecta brings a unified strategy to enterprise knowledge administration by its flagship Mediaflux platform, which, not like opponents that provide fragmented options, consolidates all knowledge administration features right into a single binary, together with net providers, metadata administration, community protocols, and filesystem operations.”
BigID stood out for its “distinctive charge of growth over the past 6-12 months” and scored effectively on a lot of analysis standards. The platform allows organizations to determine, classify, and handle unstructured knowledge successfully, simplifying compliance processes and enhancing operational effectivity.
For organizations seeking to put money into UDM options, the report affords actionable steering by its Key Standards framework. This framework helps decision-makers consider distributors primarily based on crucial facets, together with scalability, efficiency, reliability, usability, and whole value of possession. By specializing in each technical capabilities and enterprise outcomes, the framework ensures that corporations could make knowledgeable choices that align with their operational targets and strategic priorities.
GigaOM recommends the three-pronged strategy to evaluating UDM options. First, develop a data-first technique that meets present storage wants and accommodates future AI and machine studying capabilities. Second, put money into instruments that bridge knowledge silos whereas getting ready for integration wants. Third, prioritize distributors with robust automated classification and metadata administration capabilities to maximise effectivity and worth.
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