Red Hat Unveils JBoss Data Grid 7 as Platform for Real-Time Data Analytics
Leading in-memory datastore serves up data faster for continuous
business optimization
RALEIGH, N.C.--(BUSINESS WIRE)--
Red Hat, Inc. (NYSE: RHT), the world's leading provider of open source
solutions, today announced the general availability of Red Hat JBoss
Data Grid 7. 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.
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.
Additional enhancements in JBoss Data Grid 7 include simplified
distributing computing operations based on the Java 8 stream API, remote
task and script execution, expanded polyglot support, and various
ease-of-use and administration improvements.
With its speed, scale, and high availability, JBoss Data Grid is an
ideal data platform to complement JBoss
Enterprise Application Platform, Red Hat's industry-leading open
source Java EE 7 compliant application platform, to help organizations
reduce or eliminate data bottlenecks.
Availability
JBoss
Data Grid is available for download by members of the Red
Hat Developers community. Customers can get the latest updates from
the Red
Hat Customer Portal.
Supporting Quotes
Mike Piech, vice president and general manager, Middleware, Red Hat
“For many organizations today, the primary challenge they face with big
data is no longer storage volume, but rather how fast they can process
data. Paired with an in-memory data processing engine like Spark, JBoss
Data Grid can be used as a platform for real-time data analytics,
contributing to faster and more effective customer engagements.”
Your Business Is Only As Fast As Your Data, March 2016 Forrester
Report
“Thanks to cloud computing and the mobile mind shift, executives,
employees, partners and customers are connected and empowered to access
information and communicate. This open, always on, and ready ecosystem
demands real-time access to trusted data. As a result, enterprise
architects must cope with new complex requirements for users,
applications, and processes regarding the availability of business data.
Any data bottleneck in this digital network can mean millions in lost
revenue due to missed sales opportunities, customer defection,
inefficient supply chains, and uninformed strategic decisions.”
Additional Resources
Connect with Red Hat
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Red Hat, Inc.
Daniel Thompson, 978-589-1059
dthompso@redhat.com
Source: Red Hat, Inc.