Five Noteworthy Big Data Analytics Apps

April 22, 2013

As the relationship between Big Data and analytics continues to grow so does the number of enterprise analytics applications. There are now a variety of applications designed to help enterprises get the most from their Big Data. The Enterprise Apps Today article “5 More Buzz-worthy Big Data Analytics Apps” gives an overview of the analytic tools Concurrent, Birst, SAS, Clearstory Data and Terracotta. Concurrent Lingual is a free open source project that was designed to work with Apache Hadoop. It uses Cascading application framework which allows SQL users to use their existing skills to run application on Hadoop without needing additional training. Birst Big Data is notable because experts say it helps to eliminate a vast majority of the upfront investment that is generally required to leverage Big Data. SAS Visual Analytics uses an in-memory engine to help speed up the analytics as well as the visualization process. Mark Torr, director of the SAS Global Center of Excellence stated

“SAS Visual Analytics enables creation and dissemination of dashboards, reports and the results of investigative exploration either through the Web or to native mobile applications running on an iPad or Android tablet. We believe that we are the only vendor that has analytics in-built rather than tagged-on through call outs to other services.”

“Terracotta In-Genius sits on top of Terracotta’s BigMemory 4.0 in-memory data platform. It comes with event stream processing and messaging, is said to process one million event transactions per second, identify patterns and create action items based on predicted behavior. It is also certified to operate with Oracle, SAP Hana and Hadoop.”

ClearStory Data gives users the ability to discover, analyze as well as consume data from data sources including Hadoop and Web and social application interfaces. For me these apps were new but regardless they definitely seem to bring a little something extra to the table when it comes to Big Data and analytics.

April Holmes, April 22, 2013

Sponsored by ArnoldIT.com, developer of Augmentext

Written by Stephen E. Arnold · Filed Under Analytics, Applications, Big data, News

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Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.