Impetus’ Open Source Solution Jumbune™ to Accelerate Hadoop-based Solution Development
Jul 02, 2014
LOS GATOS, CA – July 2, 2014 - Impetus Technologies, a Big Data thought leader who provides software services and solutions, today announced the availability of Jumbune – an Open Source product built for analyzing Hadoop clusters and MapReduce jobs.
Jumbune provides a Hadoop-based cluster-wide MapReduce execution flow analyzer, MapReduce Profiler, customizable on-demand cluster monitoring, and HDFS data validation. These salient features are designed to boost developer productivity and time to market throughout the development lifecycle of a Hadoop-based solution.
“Jumbune is a robust, efficient, and easily pluggable product. Jumbune provides big data developers with a one-stop solution for the labor-intensive, time-consuming, and painful processes related to MapReduce implementation,” said Pankaj Mittal, CTO and SVP, Impetus Technologies.
Additionally, Jumbune enables its users to debug, profile, monitor, and validate analytical solutions hosted on decoupled clusters. It supports all the major Hadoop distributions. Jumbune is an Open Source product, available under the terms of the LGPLv3 license and is approved by the Open Source Initiative. It is available for download at http://www.jumbune.org/.
With the launch of Jumbune, Impetus continues to deliver value through Big Data thought leadership and innovation. Recently, Impetus also announced Ankush™ , an Open Source cluster manager designed for Big Data cluster monitoring and management. Earlier, Impetus contributed Open Source Kundera ™, a JPA-based object-relational mapping (ORM) tool. With cutting-edge technology addressing the volume, velocity, and variety of massive data, solutions from Impetus help make businesses more agile and reduce their cost of operation when dealing with Big Data.
Impetus is focused on creating new ways of analyzing data for businesses—helping them gain key business insights across the enterprise. The company provides Big Data consulting and implementation services for enterprises operating in a broad range of industries. Its experience extends across the Big Data ecosystem including Hadoop, NoSQL, NewSQL, MPP databases, machine learning, and visualization. It offers a quick start program, architecture advisory services, proof of concept, data science capabilities, and implementation services to its clients.