Survey finds a powerful want for information unification, multi-cloud adoption, AI-driven transformation, and metadata management as organizations search to maximise their information’s worth
A brand new business survey from Dremio finds a rising urgency for information unification, AI-ready information architectures, and governance enhancements as organizations attempt to preserve tempo with evolving calls for and put together information for AI. Surveying 101 information and expertise leaders throughout industries, the most recent Dremio-sponsored report The State of Knowledge Unification, AI Readiness, and Governance in 2025 underscores the growing reliance on multi-cloud information platforms, open desk codecs, and metadata management as enterprises navigate the challenges of contemporary information administration.
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In line with the findings, almost all (86%) of organizations plan to prioritize information unification efforts within the subsequent yr leveraging methods equivalent to API integration layers (80%), information lake/lakehouse architectures (77%), and enterprise information warehouses (72%) to interrupt down silos and enhance information accessibility. Excessive-quality, well-governed, AI-ready information can be a strategic precedence, as enterprises speed up their AI and machine studying (ML) initiatives. Multiple in 4 (28%) of respondents stated bettering information entry is essential for quicker AI growth, whereas 39% prioritize self-service information entry to assist information groups scale and empower enterprise customers.
Governance, compliance, and metadata possession have emerged as important considerations as nicely with 88% of knowledge leaders stating that retaining metadata possession could be very or extraordinarily vital. Open desk codecs equivalent to Delta Lake (66%), Apache Hudi (65%), and Apache Iceberg (53%) are additionally gaining traction as organizations search versatile, vendor-agnostic information architectures.
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“Demand for unified information platforms has reached a tipping level, with organizations actively looking for options that simplify information governance, analytics, and AI enablement,” stated Tomer Shiran, founding father of Dremio. “Almost all respondents (99%) acknowledged that they’d spend money on a expertise resolution that makes it simpler to create, govern, and eat information merchandise, and (98%) acknowledged they’d be considering demoing a platform that unifies and accelerates information entry. This clearly signifies that the demand for unified information options has by no means been stronger, signaling a significant shift towards platforms that remove complexity and empower information groups to drive enterprise transformation at scale.”Efficiency bottlenecks, information silos, and governance gaps are main hurdles for enterprises trying to scale their AI initiatives and maximize information effectivity. A current examine by Gartner discovered related outcomes. As acknowledged within the Gartner Chief Knowledge and Analytics Officer Agenda Survey for 2024, 78% of respondents indicated they’re making adjustments or overhauling their strategy in D&A architectures and design patterns.1 Pushed by the demand for contemporary D&A architectures and for specific causes such because the drive to generative AI (GenAI), many information administration leaders are shifting their D&A structure to the lakehouse,” Gartner, Observe These Finest Practices to Migrate to the Lakehouse, 2025
Dremio is the clever lakehouse platform for the enterprise, serving lots of of worldwide enterprises, together with Maersk, Amazon, Regeneron, NetApp, and S&P International. Primarily based on open-source applied sciences like Apache Iceberg and Apache Arrow, Dremio supplies an open lakehouse structure enabling the quickest time to perception and platform flexibility at a fraction of the fee.
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