Updates to JBoss Data Virtualization and JBoss Data Grid technologies
give enterprises faster and more integrated access to data stores
RALEIGH, N.C.--(BUSINESS WIRE)--
Red Hat, Inc. (NYSE: RHT), the world's leading provider of open source
solutions, today announced new product enhancements designed to help
enterprises get even more out of their big data solutions to make better
and faster business decisions. Red Hat JBoss Data Virtualization 6.1 and
Red Hat JBoss Data Grid 6.4, both available today, 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
organizations turn massive amounts of data into actionable business
opportunities. 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.
Big data integration is a challenge commonly faced by modern
enterprises. Today, data is spread throughout the organization across a
growing number of applications and sources. At the same time, demands
for integrated views of the data are on the rise as new technologies
such as mobile join the ranks of traditional enterprise applications and
business intelligence tools.
JBoss Data Virtualization is a data integration and services solution
designed to unify multiple data sources to provide the right data, in
the right form, at the right time, to applications and users. Building
on its ability to integrate popular data sources such as Hadoop with
relational and other data types, JBoss Data Virtualization 6.1 expands
support of JBoss Data Grid as a data source with the ability to perform
writes in addition to reads as well as 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 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.
This integration enables organizations to build dynamic solutions for
real-time next-best-action. Example use cases for this include
location-based services for telecommunications providers, real-time
marketing for e-commerce applications, social media analysis for
emergency or security services, and more responsive monitoring for
utilities providers.
JBoss Data Grid 6.4 also features a new integration with Red Hat JBoss
Fuse, giving users distributed and elastic scale and mitigating the
business risks associated with forcing these services to match the slow
speed of the traditional database. In addition, this release introduces
a key enhancement to detect changes to cluster entries, automatically
self-heal after a replicated data center comes back online, and maintain
consistency during network partitions.
JBoss
Data Virtualization and JBoss
Data Grid are available for download by members of the JBoss
developer community. Current customers can get the latest update
from the Red
Hat Customer Portal.
Supporting Quotes
Noel Yuhanna, principal analyst, Forrester
"Big data integration helps enterprises process large amounts of data on
big data platforms quickly to support numerous use cases. It offers the
ability to orchestrate data flow and processing across various big data
platforms to support a single version of the true, consumer
personalization, and data aggregation."1
Mike Piech, general manager, Middleware, Red Hat
"Big data integration is a complex and real challenge facing enterprises
today. 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."
Additional Resources
Connect with Red Hat
About Red Hat, Inc.
Red Hat is the world's leading provider of open source software
solutions, using a community-powered approach to reliable and
high-performing cloud, Linux, middleware, storage and virtualization
technologies. Red Hat also offers award-winning support, training, and
consulting services. As the connective hub in a global network of
enterprises, partners, and open source communities, Red Hat helps create
relevant, innovative technologies that liberate resources for growth and
prepare customers for the future of IT. Learn more at http://www.redhat.com.
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1 Market
Overview: Big Data Integration, Forrester Research, Inc., Dec. 5, 2014
Red Hat, Inc.
Daniel Thompson, +1 978-589-1059
dthompso@redhat.com
Source: Red Hat, Inc.
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