Continuuity wants to make it easier for developers to harness the power of big data tools like Hadoop. The big data solutions provider has been simplifying the development of Big Data apps with products like Continuuity Big Data AppFabric and Continuuity Reactor, which provide a development framework designed to make building big data applications on Hadoop easier for Java developers.

Extending the reach of Java developer to build, deploy, scale and manage Apache Hadoop and HBase applications, Continuuity announced the availability of Continuuity Reactor 2.0. The Continuuity Reactor 2.0 has been re-designed for performance, scalability and reliability to support production enterprise apps with features that include MapReduce scheduling, Resource Isolation, High Availability and full support for REST APIs. The latest version introduces full REST API support; new APIs to support workflow, real-time and batch processing; Kerberos and Hadoop security integration; resource isolation such as memory and CPU and new workflow to schedule and chaining of MapReduce jobs.

IDC estimates the big data market will reach $23.8 billion by 2016. The next step in the evolution of big data is emergence of an applications market. With the rise in demand of analysts, experts in business intelligence and data scientist, big data opens the opens the door to a number of enterprise productivity tools.

But there is a real crunch for talent to build enterprises grade applications. IDC said large enterprises with great resources might only have five people who can run MapReduce while that same organization may have 20,000 very skilled Java developers. Continuuity is filling a real need by enabling those skilled Java developers to step-in and fill the Big Data talent gap. The Continuuity Reactor 2.0 helps all big data and Java developers to quickly build applications based on Apache Hadoop and HBase.

“We have made significant improvements to our platform with the developer always in mind. We believe that the future of Big Data is applications. To realize that future, the power of Hadoop and HBase must be made accessible to all developers in a simple and intuitive way. Our 2.0 release puts the focus on your application logic, not on Hadoop, so that developers can create and deploy applications quickly and easily,” said Jonathan Gray, CEO of Continuuity.

Reactor platform works on Apache Hadoop 2.0 (YARN) to run data-rich applications with support for batch processing and real-time streaming capabilities in a single Hadoop cluster. In addition, the recently released Continuuity Developer Suite allows managing and scaling of applications on a single dataset.

With the continuing efforts by vendors and the open source community, Hadoop is making a more viable for the traditional enterprise. This week’s release of Hortonworks Data Platform 2.0 takes Hadoop beyond batch analytics with support for stream processing and adhoc query. HDP 2.0 improves on the platform’s SQL-like capabilities and graph analysis, two important applications for Big Data practitioners.