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SQream

Read 6 SQream reviews and testimonials from customers, explore 7 case studies and customer success stories, and watch customer videos to see why companies chose SQream as their GPU Database

SQream has redefined big data analytics with SQream DB, a complementary SQL database harnessing the power of GPU to enable fast, flexible, and cost-efficient analysis of massive datasets of terabytes to petabytes. SQream works using broadly adopted production standards like SQL, Java and Python. Consequently, they integrate easily with industry standard connectors. SQream DB can run on-premise or on the cloud.

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Customer Rating Review Score based on 1853 reference ratings
4.8/5.0 (1853)

6Testimonials

  • "SQream and Orange demonstrate x100 cost performance removing limits of databases."

    Pascal Dechamboux Director of Software & Technical Architecture

  • "Identifying the root cause of the issue is quite difficult, and the tools we had were unable to provide the insights needed to understand what was happening. We saw a …

    Cellcom RF Group Leader

  • "With our network service covering 77 provinces nationwide, our data is constantly growing. SQream helps us to keep pace with the rapidly increasing data usage and translate that data into …

    Suppachai Panichayunon Head of Solution Design and Architect
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7 Case Studies

  • Deeper historical analytics with SQream DB

  • ACL Mobile uses SQream DB as a cost-effective deep analytics platform for …

    Ajit Singh Sr. Vice President Engineering

  • Saving hours on reporting with SQream DB

6 more case studies currently locked

Additional SQream Information & Resources

Read SQream Reviews, Testimonials & Customer References from 6 real SQream customers.

Browse SQream Case Studies, Customer Success Stories, & Customer References from 7 businesses that use SQream.

FeaturedCustomers has 1,908,625+ validated customer references including reviews, case studies, success stories, customer stories, testimonials and customer videos that will help you make better software purchasing decisions.