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JBoss Data Grid 6 for Better Management of Large Data

By SiliconIndia   |   Thursday, 28 June 2012, 11:42 Hrs
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Bangalore: Red Hat, Inc. the world’s leading provider of open source solutions has announced the general availability of Red Hat JBoss Data Grid 6, an in-memory data grid solution with several new features designed to help enterprises reduce the need for relational databases and scale application development for better big data management.

“The massive proliferation of data places new demands upon enterprise applications. As such, traditional approaches to scaling the data tier can be very time and cost intensive and sometimes may not even work. Red Hat JBoss Data Grid 6 brings a new approach to solving this issue, enabling enterprises to move with agility and with more flexibility than other proprietary approaches,” said Craig Muzilla, Vice President and GeneralMmanager, Middleware, Red Hat.

“One of the biggest challenges facing today's organizations is enabling applications to meet the demands of big data. This issue will only become more prevalent as the influx of information, derived from an increasingly wide range of potential data streams, continues to rise. Red Hat recognizes the need to provide customers with modern and simplified methods to scale their data tiers,” added Charlotte Dunlap, Senior Analyst, Application Platforms, Current Analysis.

Red Hat JBoss Data Grid 6 offers several key advantages for enterprises, including:

1.    A non-intrusive approach to NoSQL - Through its fast, intuitive in memory key-value store, Red Hat JBoss Data Grid 6 makes it easier for organizations to add NoSQL capabilities to their development kits.

2.    Putting big data to work – It supports high-volume workloads with low-latency and optional transactional support, providing support for real-time application use cases such as trading, logistics and e-commerce.

3.    Better application scaling with reduced cost – it can serve as a seamless cache between applications and existing data tiers, allowing enterprises to better scale applications while significantly reducing the cost and complexity associated with scaling traditional relational databases.

4.    Flexible application integration - Features such as support for open APIs such as REST, memcached and Apache Hot Rod allow developers to easily take advantage of Red Hat JBoss Data Grid from a number of development languages.

5.    Highly available and fault tolerant - Data is automatically distributed as nodes are added or removed from the grid, which can be configured to operate across physical or virtual datacenters.

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