SQream Data Acceleration Platform

SQream empowers organizations with a solution that takes their critical business insights to another level – through the ability to carry our faster data analytics on all their massive data stores – and to do it at scale.

SQream Data Analytics Acceleration Platform

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With upwards of 5,000 cores per-card, GPUs can bring petaflops and 80,000 cores to a standard rackmount server.
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Supercomputer capabilities in a small package results in lower running costs, and lower overall TCO.
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SQream scales to virtually unlimited data sizes. Grow from to terabytes to petabytes without having to expand expensive legacy systems.
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SQream rapidly analyzes massive datasets, for more comprehensive model training and accurate AI/ML algorithms.

SQREAM DATA ACCELERATION PLATFORM

Capabilities

SQL GPU Database

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.

Breaking Through the Data Size Barriers

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 revolution.

Freeing Organizations from the Limitations of the CPU

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.

Transforming Your AI / ML Models

Data drives your AI/ML pipeline. It’s critical for training, testing and validating AI/ML algorithms. In fact, the more data you feed AI/ML algorithms, the better they perform, and the more accurate and significant the results. Yet most enterprises are challenged with accessing, preparing and analyzing their massive data.

Query Acceleration

SQream ingests data at 3 TB/hr and breezes through trillions of rows of data, getting you results in a fraction of the time.

Scalable AI/ML

SQream scales to virtually unlimited data sizes. Grow from to terabytes to petabytes without having to expand expensive legacy systems.

More Accurate Predictions

SQream rapidly analyzes massive datasets, for more comprehensive model training and accurate AI/ML algorithms.

Empower Your Data Streams

Gain unrestricted access to your massive raw data, with the ability to classify and segment without time-consuming preparation.

Integrates into Existing Ecosystems

SQream empowers organizations with a solution that takes their critical business insights to another level – through the ability to carry our faster data analytics on all their massive data stores – and to do it at scale.

Case Study - Türkiye İş Bankası

High quality data to Dev and INT Environments