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Sqream

Discover valuable insights from complex data quickly with Sqream's advanced GPU-platforms for faster business intelligence and AI capabilities.

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Sqream is a data analytics company that offers innovative solutions including SqreamDB, a GPU-based big data platform for faster business insights, Sqream Blue for querying multi-terabyte datasets, and Panoply, a managed low-code ELT and analytics platform. Industries like AdTech, Manufacturing, and Finance have adopted Sqream's products for faster network analysis and improved efficiency. Notable achievements include partnerships with Samsung Cloud Platform and securing $45 million in funding to expand its GPU-based data analytics offerings.

About Sqream

Sqream is a leading data analytics company that develops innovative solutions for organizations to unlock valuable insights from their complex and voluminous data. Sqream's offerings include SqreamDB, a GPU-based big data platform designed for querying up to 100 petabytes with infinite complexity and up to 5x faster business insights; Sqream Blue, a GPU-based SQL data lakehouse that empowers organizations to migrate, transform, and query multi-terabyte datasets; and Panoply, a managed low-code ELT and analytics platform with over 40 no-code data source connectors.

Sqream's products have been adopted by various industries such as AdTech, Manufacturing, and Finance, enabling faster network analysis, competitive advantages, and improved efficiency. Notable achievements include powering better network management for AIS Thailand and accelerating queries from 6 hours to 20 minutes for LiveAction. The company has also secured $45 million in funding to expand its platform and accelerate data analytics using GPUs.

Sqream's ecosystem includes partnerships with key industry players, such as Samsung Cloud Platform, allowing organizations to leverage advanced AI capabilities at scale. With a commitment to continuously pushing the boundaries of what's possible in data analytics, Sqream aims to help businesses overcome the toughest data limitations and stay competitive.

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