SQream’s platform (in prior discussion) is designed to efficiently analyze massive datasets at petabyte scale, especially accelerating querying through GPU-powered SQL engines, it can complement hybrid architectures like lakehouses by enabling high-performance analytics on large-scale data stores, fueling actionable insights and machine learning workflows. In summary, data lakehouses offer organizations a unified, agile, and cost-effective platform that meets evolving big data analytics demands by blending flexibility and structure, enabling better decision-making and innovation.

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