Covering Scientific & Technical AI | Thursday, December 26, 2024

Veristorm Launches vStorm Enterprise 

Veristorm today announced the release of vStorm Enterprise, the first Hadoop-based Big Data platform to run natively on the leading mainframe servers. With drag-and-drop access to mainframe databases and files, and the first commercial Hadoop distribution for Linux on mainframe, the vStorm Enterprise platform enables access and analytics of both sensitive mainframe data and other big data sources in a secure, scalable environment.

Len Santalucia, CTO of Vicom Infinity, an IBM Premier Business Partner, said "Our customers value our ability to bring them innovative solutions. The response to Veristorm’s Hadoop solution for Linux on mainframe servers has been tremendous because it allows users to gain more value from their investment by providing significant insights into their mainframe data. Veristorm is a strategic component that helps eliminate the mainframe quarantine and distributed server sprawl."

The vStorm Enterprise platform enables analytics on mainframe logs and customer data, without delay or security risk. It can copy tables from database applications and files directly into Hadoop on Linux running on the mainframe. Additionally the virtual appliance can connect to external x86 environments, avoiding the complexity of COBOL copybook and security risks, compliance challenges, and delays of offloading data.

The zDoop software is the first commercial distribution of Hadoop for Linux running on mainframe servers. With support for the leading enterprise Linux distributions, zDoop creates a supported and familiar environment to bridge the mainframe and distributed talent pools. It reduces processing and analytics costs by shifting work to dedicated Linux processors and from a metered to fixed software cost model. Customers can have a scalable private cloud for Big Data without additional footprint or deployment delays by leveraging zDoop on the mainframe’s scalable, on-demand processing capacity.

AIwire