Making Big Data work...
Red Hat release JBoss Data Grid 6 Beta
Scaling on your mind? Well it should be if you're thinking about making the next step for your business web application as it garners more critical acclaim and popularity.
But of course, that old stumbling block of bottlenecks is stopping you from making the commitment. Have no fear, Red Hat have released the latest version of their in-memory database finely-tuned for easing the transition to a Big Data approach, without compromises.
Capable of working with applications written in Java, Spring or C#, Red Hat JBoss Data Grid 6 can be deployed in an application server or on its own. The NoSQL data store claims to be incredibly flexible in what data it stores and to be a reliable alternative for replicating data across a large number of nodes.
The distribution options are plentiful; you can replicate data in-memory, write to disk, or store it in a relational database for fault-tolerance.
Crucially for applications wanting little disruption, Data Grid 6 beta allows simple addition or removal of storage nodes without any impact on performance. Another sticking point for any enterprise wondering whether to make the jump over to a NoSQL approach is how this data is accessed. Fortunately Data Grid 6 has a plethora of choices here - each providing easy access to the data grid using REST, memcached, Hot Rod, or simple map-like API.
Already helping data-intensive applications within sectors like online retail and financial trading boost performance and scalability, Red Hat JBoss Data Grid 6 continues upon the good work by bringing in some new features and could well become the popular choice of NoSQL in-memory data stores. Intrinsically linked to Infinispan and JBoss EAP 6, Data Grid 6 could indeed become part of the JBoss developer's inventory for solving some of the problems within the Big Data minefield.
You can download the beta here, so get tinkering.