SQream conquers the largest workloads by combining available CPU, GPU, RAM, and storage resources – enabling reports, interactive dashboards, and ad-hoc queries. This balance of CPU and GPU operations ensures optimal performance. The result is faster response times, even on the most complex interactive dashboards.
SQream easily ingests and analyzes an organization’s largest datasets. Combining the throughput-oriented GPU with some best-of-breed data techniques, SQream DB scales from terabytes to petabytes with ease. Together with the formidable JOIN, which SQream DB runs entirely and effectively in-GPU from its inception, GPU-acceleration is the backbone of SQream’s massive data analytics capabilities.
When faced with massive analytic workloads, CPU-based systems often hit the wall. As queries grow in complexity, diversity, and the amount of data being processed – acceleration becomes crucial. Thanks to its ability to rapidly perform repetitive operations, the GPU (Graphic Processing Unit) has gained traction as an innovative way to efficiently and cost-effectively process large volumes of data.