It's time to vote 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 readers. The voting period will be open through Monday, June 3.
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Innovation in the big data and analytics space continues to blossom, with more companies than ever before riding the high of generative AI. Along with the myriad possibilities of this new sphere of artificial intelligence comes some questions and concerns. Startups are emerging to address challenges and leverage opportunities this new area may bring. Here are 30 startups DBTA thinks are worth watching in 2024.
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In 2023, the integration of generative AI (GenAI) into the constantly evolving landscape of data management emerged as a game changer, promising to reshape the way organizations interact with databases, data, and metadata. In 2024, as enterprises hamstrung by hiring and budget woes continue to be judged by their productivity and efficiency, they'll also be judged by their ability to do two things: deliver actionable insights and provide guidance in an easily consumable format and empower users of all skill levels to interact with key data and drive insights.
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The market is saturated with thousands of purpose-built database systems. This creates too much noise for analysts and scientists dealing with vital data problems across numerous important application domains: genomics, geospatial, and more. To solve this problem, Stavros Papadopoulos, founder and CEO at TileDB, Inc., is introducing the concept of a universal database, which had heretofore been a missed opportunity in the database community.
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