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With an exponential development in unstructured knowledge, enterprises are going through a brand new set of challenges that demand revolutionary options. Unstructured knowledge, corresponding to emails, movies, paperwork, and machine-generated data, now constitutes roughly 80% of all knowledge inside organizations. If unstructured knowledge is just not managed correctly, it may 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 large quantities of unstructured knowledge.
Over 30% of IT budgets in most organizations are spent on storage prices, in keeping with GigaOM, a analysis agency centered on expertise evaluation. With knowledge volumes rising at 55–65% yearly, companies should discover methods to scale back these prices whereas uncovering the hidden potential of their unstructured knowledge.
The lately launched 2025 GigaOM Radar for Unstructured Knowledge Administration report evaluates 22 prime distributors to assist companies select options that scale successfully, improve safety, and ship actionable insights. By evaluating a variety of capabilities, the report presents essential steerage 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 price, efficiency, scalability, flexibility, ecosystem integration, and manageability.
The report additionally consists of the GigaOM Radar chart that plots distributors based mostly on maturity, platform play, innovation, and have play. This yr’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 presents one thing that might work for particular buyer wants. It encourages organizations to think about their particular necessities when evaluating distributors and choosing essentially the most appropriate resolution.
GigaOM Radar Chart Supply: GigaOM
A key focus for this yr’s GigaOM report was to transcend fundamental storage administration capabilities for the analysis standards. GigaOM included options corresponding to metadata dealing with, superior search performance, AI-powered classification, and seamless integration with current techniques in its evaluation framework.
“This yr’s report marks a major evolution in our evaluation strategy,” as outlined within the report. “We’ve consolidated our beforehand separate infrastructure and enterprise use case reviews in a unified analysis framework.”
“The combination displays the market’s maturation and recognition that technical capabilities and enterprise outcomes are inextricably linked within the UDM area. The consolidated strategy gives choice makers with a extra complete view of the way in which infrastructure options translate instantly 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 yr. The platform was acknowledged for its innovation, safety, scalability, and skill 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 sturdy place within the unstructured knowledge administration area.
In December 2024, Cohesity finalized its acquisition of Veritas’ enterprise knowledge safety enterprise. GigaOM says it will assist Cohesity “leap ahead available in the market subsequent yr.”
Arcitecta additionally carried out strongly in GigaOM’s report. The corporate acquired recognition for its sturdy knowledge administration capabilities and its revolutionary strategy to dealing with unstructured knowledge throughout various environments. Its options supply flexibility and adaptableness, 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, area CTO at GigaOM. “Arcitecta brings a unified strategy to enterprise knowledge administration by its flagship Mediaflux platform, which, in contrast to opponents that provide fragmented options, consolidates all knowledge administration capabilities right into a single binary, together with internet companies, metadata administration, community protocols, and filesystem operations.”
BigID stood out for its “distinctive charge of improvement during the last 6-12 months” and scored nicely on quite a lot of analysis standards. The platform permits organizations to establish, classify, and handle unstructured knowledge successfully, simplifying compliance processes and enhancing operational effectivity.
For organizations seeking to put money into UDM options, the report presents actionable steerage by its Key Standards framework. This framework helps decision-makers consider distributors based mostly on essential facets, together with scalability, efficiency, reliability, usability, and whole price of possession. By specializing in each technical capabilities and enterprise outcomes, the framework ensures that corporations could make knowledgeable selections that align with their operational objectives 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 making ready for integration wants. Third, prioritize distributors with sturdy automated classification and metadata administration capabilities to maximise effectivity and worth.
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