The release of RedHat DataGrid6JBoss ushered in NoSQL

RedHat recently announced that its enterprise-level development platform JBoss will add the Key-Value storage NoSQL product JBossDataGrid6 to improve the JBoss platform's capabilities in big data processing. Currently, the new version of JBossEnterpriseApplicationPlatform6 supports this function. JBossDataGrid6 was originally from the open-source project Infinispan in the JBoss community.

Red Hat recently announced that its enterprise-level development platform JBoss will add the Key-Value storage NoSQL product JBoss Data Grid 6 to improve the JBoss platform's capabilities in big Data processing. Currently, the new JBoss Enterprise Application Platform 6 provides support for this function.

JBoss Data Grid 6 was originally from the open-source project Infinispan in the JBoss community. During its development, JBoss Enterprise Application Platform and JBoss Operations Network were used for reference.

JBoss Data Grid 6 is a NoSQL-based database system. It stores Data in the REST mode and is compatible with Memcache APIs and Red Hat's hottodd APIs. This means that, in addition to the Java platform, Microsoft. NET platform and Python can also be used.

Red Hat mentioned In the release report that network traffic may exceed the ZB threshold by 2015 (note: this is consistent with Gartenr's recent analysis report on cloud storage reported before In Big Data ), large data traffic will pose challenges to data storage, analysis, and application capabilities.

The challenges in data processing come from technology, but Red Hat's challenges come from the Development of Hadoop and other NoSQL products in the context of arrogant data. Compared with Hadoop, JBoss Data Grid 6 has been optimized to handle transaction loads. Compared with traditional relational databases, JBoss Data Grid 6 provides better reading and scalability, and nodes can be easily added or deleted.

The following are some features of JBoss Data Grid 6:

A non-intrusive approach to NoSQL
Putting big data to work
Better application scaling with reduced cost
Flexible application integration
Highly available and fault tolerant