SQream Technologies Released a High-Performing Database Solution Called xDR Repository
FREMONT, CA: SQream Technologies, a provider of rapid and petabyte-scale big data analytics announced that the most recent addition to its suite of high-performing database solutions by launching xDR Repository.
Today, IP traffic, CDRs, and location data are being produced at an unprecedented speed and volume, requiring Telecoms to gather, store and analyze information so as to gain monetizable value from it in real time. xDR Repository is a high-capacity NAS dataset management storage system with up to 100 X faster analytics capabilities. With high compression ratio potentials, the dynamic engine of xDR Repository enables any analytical tool to generate real-time insights from past data, while eliminating the need for OLAP cubes.
xDR Repository is released after the launch of SQream DB, the company’s solution in October 2014, which aimed the introducing a high-speed GPU-based (Graphic Processing Unit) columnar SQL database to encounter performance and efficiency obstacles in Big Data analytics. SQream Technologies second launch was in April 2015, when the company introduced GenomeStack as an answer to the traditional file-based, highly time-consuming manual process for storing and analyzing genome sequenced data.
“Big Data solutions are increasingly making it possible for telecom providers to understand their customers’ behavior and preferences” says Ami Gal, CEO at SQream Technologies. “Massive amounts of data analyzed in real-time enables service providers to deliver a better digital experience to its customers. xDR Repository addresses CDRs and IP data, and is an effective platform for making accurate predictions and reaching intelligent decisions – working directly from a single point of knowledge.” “We see it as our mission to deliver performance and simplicity to our Big Data users, and to transform ‘Big Data’ from a buzzword to a movement that will transform the way you do business.”
As xDR Repository doesn’t require any indexing, it reduces the time of preparation and data augmentation cycles significantly, which includes CDRs download, mediation and insert, for Telecoms. xDR Repository addresses challenges related to Telecom network event handling and cyber, and anomaly analysis apart from billing cycles.
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