Red Hat JBoss Data Grid

Red Hat JBoss Data Grid is the instrument of processing and storage of unstructured data.

2016: JBoss Data Grid 7

On July 27, 2016 the Red Hat company announced release of release of the version of JBoss Data Grid 7.

Possibilities of JBoss Data Grid of version 7 help to react to changes of requirements and requests of the market quickly. The upgraded product offers integration with Apache Spark. Spark implements functions of processing in RAM and when using together with a storage system in RAM of JBoss Data Grid helps to eliminate traditional bottlenecks in performance. The seventh version of the solution can be used as Hadoop-compatible data source, supporting the InputFormat and OutputFormat formats that expands a range of available analytical tools, emphasized in^[1].

Architecture of a cache of JBoss Data Grid, (2015)

In the list of additions to the version of JBoss Data Grid 7 Red Hat noted a reduced model of the distributed computing transactions on the basis of Java 8 Stream API, remote accomplishment of scenarios and tasks, expanded multilingual support and a number of changes in a part of administration and use of a system.

Today the main problem of many organizations during the work with Big Data consists not in storage, and in processing of these data. In a complex with data processing mechanisms in RAM, such as Spark, the solution JBoss Data Grid can be used as the platform of analytical data processing in real time for fast customer interaction. Mike Piech, vice president of Red Hat and head Middleware

JBoss Data Grid is available to loading to participants of community Red Hat Developers.

JBoss Data Grid 6

A system simplifies to the organizations work with fast-growing information volumes – Big Data. The companies can scale the applications that reduces need to set and support classical relational DBMS.

Using JBoss Data Grid employees can process, structure, open access to large volumes of data for end users by means of the NoSQL functions, to tools for developers. The solution JBoss Data Grid is capable to sustain considerable workloads in real time with the low level of delays. It can be used in work of financial and logistics systems, electronic trading systems, big electronic archives, etc.

JBoss Data Grid interacts only with memory of servers and saves data which it is possible to address by means of keys. Work with NoSQL-base is conducted by means of the REST mechanisms accepted in the industry, API for software of Memcache or actually API Red Hat for HotRod storage systems.

The product offers opportunities of interaction with products Java, Python, Microsoft .NET and others at the level of applications.

Features of JBoss Data Grid

• Adding of not relational data warehouse. The NoSQL database is developed for the distributed data warehouses for the purpose of processing of large volumes of information. The organizations can easily add not relational storages, such as JBoss Data Grid, to the applications.
• Management of Big Data. JBoss Data Grid ensures functioning of Big Data, reducing answer time in applications and supporting loadings with the minimum delay.
• Economic scaling of applications. Acting as some kind of cache between the application and a layer of data, JBoss Data Grid manages integrity and the sequence, reducing costs and difficulties when scaling applications.

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