Submissions for nominations are now open for the annual Database Trends and Applications Readers' Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the users. The nominations period has been extended through March 20, 2026, and will be followed by actual voting on the products nominated by our readers.
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Artificial agents, applications, and bots are popping up across every enterprise landscape, and data is rolling through at a fast and furious pace. While there has been plenty of hype, excitement, and fear about AI's possibilities, there has been scant attention regarding the data infrastructure needed to make it all work—especially at the enterprise level. AI requires a strong and well-considered data foundation, whether it's extended out of legacy infrastructures or part of the next generation of data technology.
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With the first half of the 2020s "done and dusted," it's time for organizations to take stock of where they are on their journey. As 2026 begins, DBTA presents the annual MultiValue (MV) Special Report and asks MV executives to address several questions
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When organizations think about green IT, they usually consider data center efficiency, server consolidation, or cloud energy metrics. And yes, those are important areas, but they overlook one of the biggest contributors to an organization's energy footprint: its data architecture. Every table, index, column, backup, replication stream, and query consumes resources, and therefore energy. Poor data design doesn't just slow performance or inflate costs, it also increases the organization's environmental footprint.
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