SQream Technologies: GPU-based Innovative Technology to Boost Analytics Performance

As businesses take measures to enhance their information capturing ability to support their strategic objectives, big data is acting as the game changer in acquiring meaningful insights. From streamlining customer behavior to inventory status, organizations are using specialized tools to manage the analysis of data reservoirs. “With the rapidly changing technology trends, the big data market is undergoing a hybrid war,” begins Ami Gal, Co-founder and CEO, SQream Technologies. However, this approach is locking data inside proprietary data silos, making cross-functional analysis difficult, subsequently increasing project costs and risk levels. Organizations are now looking for a single robust standards driven language that would provide unified access to data and drive analysis. In such a scenario, SQL acts as the default language for data analysis, providing mature and comprehensive data access. Headquartered in Tel Aviv, Israel, with offices in U.S., SQream Technologies provides organizations with an ultra-fast, cost-effective, petabyte-scale big data analytics SQL database that helps customers gain significant industry leadership advantage.

SQream Technologies’ Graphic Processing Unit (GPU) based database has the capability to process and analyze large amounts of data while delivering optimal high cost/performance ratio. “Through this core process we compress and decompress data to perform data analytics,” says Gal. SQream DB is a columnar SQL database employing aggressive compression procedures resulting in major savings in storage and blazing speed of query execution. SQream DB doesn’t require any data modelling or new skills, and allows organizations to work efficiently. “With SQream DB, the power of a data center is condensed into a single standard server, enabling us to perform massive data crunching in low footprints, with capability to scale massively” he adds.

The company offers GenomeStack, a SQL database platform, developed specifically for the Genome Research industry. The platform helps researchers, analysts, data scientists to rapidly extract time-critical knowledge, enabling them to get answers in a short time span. “It is a specialized gateway that automatically inputs the sequences that are being created by the machine, seamlessly in a database,” asserts Gal.