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Categories: Apache Hadoop Red Hat Spark

RALEIGH, N.C.–(BUSINESS WIRE)–#RedHat, Inc. (NYSE: RHT), the world’s leading provider of open source solutions, today announced the general availability of Red Hat #JBossDataGrid7. The latest version of Red Hat’s leading in-memory data management technology, which can be used as a distributed cache, #NoSQL database, or event broker, introduces enhancements to help organizations generate insights for continuous business optimization through real-time data analytics, contributing to greater agility and competitiveness. #Apache #Spark #Hadoop @RedHatNews

In today’s digital world, opportunities to engage with customers can be fleeting. Organizations that are unable to quickly recognize and respond to these opportunities risk losing customers and revenue to competitors. This competitive edge is driven by the ability to collect, analyze, and act on data as it is generated, during the moment of customer interaction, and the speed necessary to seize these business opportunities can only be obtained through in-memory computing.

Cited as a leader in The Forrester Wave™: In-Memory Data Grids, Q3 2015, JBoss Data Grid combines high performance with enterprise-class scale and flexibility, offering customers a powerful tool that can deliver data at the moment it is needed for real-time analysis.

JBoss Data Grid 7 addresses the need for faster data processing and more responsive applications by introducing new integration with #Apache #Spark, an open source framework for developing data-intensive applications. Spark processes data in-memory, and when paired with an in-memory data store such as JBoss Data Grid, helps eliminate traditional bottlenecks. JBoss Data Grid is also now fully supported as a #Hadoop-compliant data source. Support for Hadoop InputFormat and OutputFormat enables the use of many analytics tools that integrate with the Hadoop I/O format.

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