Red Hat launches new versions of JBoss and JBoss Data Grid

Red Hat launches new versions of JBoss and JBoss Data Grid

Summary: Red Hat claims that these products were designed to decrease time-to-market for application delivery, reduce development costs and the need for relational databases, and better manage big data.

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Red Hat has always done its best to commercialize open source projects and use the community developed technology to create enterprise class computing solutions. This time, the company has launched JBoss Enterprise Application Platform 6 and JBoss Data Grid 6. The goal for both products is making it easier for developers to quickly create high performance, highly scalable applications that can execute on physical, virtual or cloud-based systems.

What Red Hat has to say about JBoss and JBoss Data Grid

The company has unveiled JBoss Enterprise Application Platform 6 and Red Hat JBoss Data Grid 6. JBoss Enterprise Application Platform 6 provides developers with an easy-to-manage solution designed to help enterprises build applications and ease into the cloud. Red Hat JBoss Data Grid 6 enables enterprises to more easily implement large, transactional data grids and significantly aids companies looking to get a handle on big data.

Snapshot analysis

Red Hat is working to address the rapid growth of data-driven applications by extending the performance, manageability and scalability of its application framework and its NoSQL-based data store. The idea was to make best use of multi-core and virtual systems regardless of whether they were on-site or out in the cloud somewhere.

JBoss is an application virtualization framework that is designed to simplify application development and make it easier to deploy those applications. Over time, the framework has gotten easier to use, better able to deal with multi-tier or distributed applications, and deal with the increasing need for those applications to scale to support so-called extreme transaction processing requirements.

Data Grid is a NoSQL, shared memory database designed to address high volume workloads that need to process huge amounts of data. Furthermore, a number of development languages (Java, .Net, Python) and a number of APIs (REST, memcashed and Apache Hot Rod) are supported to allow developers a great deal of flexibility.

Although the new versions of these products appear quite useful for Red Hat's customers, there are quite a number of competitors that are addressing the same market trends and customer requirements. Can Red Hat play its leading position in the market for Linux and other open source technologies to win against all of these competitors? That is a quesiton that only time will answer.

Topics: Virtualization, Big Data, Cloud

About

Daniel Kusnetzky, a reformed software engineer and product manager, founded Kusnetzky Group LLC in 2006. He's literally written the book on virtualization and often comments on cloud computing, mobility and systems software. In his spare time, he's also the managing partner of Lux Sonus LLC, an investment firm.

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