SQream's analytics platform leverages the computational power of GPUs to ingest, transform, and query very large datasets efficiently. It allows organizations to analyze data on an hourly, daily, or yearly basis, enabling them to extract complex insights from their datasets. This platform can handle up to 1,000 times more data than traditional systems, performing analytics 10 to 50 times faster and at a fraction of the cost.

SQream's technology enables organizations to reduce the size of their data centers by using fewer servers equipped with GPUs. For instance, instead of requiring six racks of servers, SQream allows customers to achieve the same results with only two servers. This not only cuts costs but also minimizes carbon emissions, as it consumes significantly less energy—up to 90% less carbon emissions were reported in a benchmark with 300 terabytes of data.

SQream's analytics platform is particularly beneficial for industries that generate large datasets, such as manufacturing, telecommunications, banking, insurance, finance, healthcare, and IoT. These sectors often rely on machine learning algorithms that require extensive data for accuracy, making SQream's efficient data processing capabilities valuable for their analytics needs.