At the core of the general availability of Red Hat JBoss Data Grid 7 for Real-Time Data Analytics

Thanks to in-memory open source data processing engine like Spark, Hadoop, to name a few, data-centric organizations can now streamline data processing and real-time data analytics.

At the core of the general availability of RedHat JBoss Data Grid 7 for Real-Time Data Analytics, we have: in-memory datastore, distributed cache, NoSQL database, insights for continuous business optimization, real-time data analytics, business opportunities, in-memory computing, high performance, scale and flexibility, data at the moment it is needed for real-time analysis, faster data processing , new integration with Apache Spark, data-intensive applications, in-memory data store such as JBoss Data Grid, Hadoop-compliant data source. 

We also have at the center of stakes: support for Hadoop InputFormat and OutputFormat ,Hadoop I/O format, the Java 8 stream API, remote task and script execution, expanded polyglot support, with the final goal to help organizations capture business opportunities reduce or eliminate data bottlenecks, and more. 

JBoss Data Grid is available for download by members of the Red Hat Developers community.