Red Hat tunes up JBoss middleware for big data

Company releases updates to Data Virtualization, Data Grid for ‘faster, more integrated data access’

Tags: Red Hat Incorporation
  • E-Mail
Red Hat tunes up JBoss middleware for big data Piech: Big data integration is a complex and real challenge facing enterprises today.
By  Stephen McBride Published  April 6, 2015

Open source solutions company Red Hat today announced tweaks to its Java-based JBoss middleware suite designed to enhance enterprises' big data solutions.

Red Hat JBoss Data Virtualization 6.1 and Red Hat JBoss Data Grid 6.4 are both available now and, according to Red Hat, "address specific challenges related to integrating big data environments for faster and more accurate application data feeds".

"Red Hat offers a strong portfolio of technologies that help organisations turn massive amounts of data into actionable business opportunities," the company said in a statement. "These technologies are designed to make data more manageable, accessible, and consistent for business-level analysis, and offer flexibility and performance at the application level."

JBoss Data Virtualization is a data integration and services solution designed to unify multiple data sources to provide multiple information views for applications and users. Version 6.1 expands support of JBoss Data Grid as a data source with the ability to perform writes in addition to reads, and provide an embedded cache in addition to the remote cache capability previously available. The update also expands the range of integrated and supported data services to include Cloudera Impala, Apache Solr, and MariaDB, and introduces various enhancements to development and deployment productivity capabilities.

JBoss Data Grid, Red Hat's high-performance in-memory data store, is now fully supported with the bi-directional read/write integration in the JBoss Data Virtualization 6.1 release. The enhancements are designed to allow the integration service "to take advantage of library mode in JBoss Data Grid, enabling use either as an embedded cache or as a remote cache to bring real-time data closer for high performance, real-time data integration", according to Red Hat.

"Big data integration is a complex and real challenge facing enterprises today," said Mike Piech, general manager, Middleware, Red Hat. "IT must contend not only with a constantly changing data environment, but also with forces like mobile and IoT that are putting intense pressure on existing systems by demanding more throughput than they can handle. With tools like JBoss Data Virtualization and JBoss Data Grid, Red Hat can help enterprises unify and propel data in support of applications that are more responsive and aware."

Add a Comment

Your display name This field is mandatory

Your e-mail address This field is mandatory (Your e-mail address won't be published)

Security code