Hunk 6.1 was beta tested by Splunk customers and several leading NoSQL vendors. Key features included report acceleration, interactive dashboards and charts, and pass-through authentication.

'Hunk has been an essential point-of-entry to the Hadoop space for Belvedere Trading. It allows for interactive exploration and validation of our data in a way that handwritten MapReduce tasks never could, especially for those individuals who have stronger quantitative backgrounds than fingers-on-keyboard programming experience,' said Michael Saia, infrastructure team lead, Belvedere Trading, a leading proprietary trading firm that specializes in equity index and commodity derivatives. 'Furthermore, the integration that Hunk provides between our data located in Hadoop and the real-time machine data we already gather with Splunk Enterprise will enable us to dramatically facilitate the drawing of correlations between them.'

'Effective media delivery and traffic management for service and content providers involves a complex balance of network resources, end user experience and monetization opportunities. Through its simple but powerful user interface, Hunk enabled Vantrix to quickly explore, analyze and visualize terabytes of mobile network usage data, enabling us to provide our customers with rich insights into network traffic, consumer usage behavior and their Quality of Experience,' said Mark Hopper, vice president of product management, Vantrix, a global provider of media delivery solutions to service and content providers. 'We chose Hunk because it runs natively on our virtualized Hadoop platform, easily adapts to our traffic logs, and gives us both a flexible and performant self-service model to uncover insights to help improve our customers' businesses. As we roll it out to more users within the role-based security controls, we are excited to use the new report acceleration features which will deliver search results faster than ever before.'

'The marriage of Hunk and MongoDB enables our joint customers to understand and analyze their data faster than ever,' said Matt Asay, vice president of business development and marketing, MongoDB. 'Helping organizations to search and visualize in Hunk from JSON documents stored in MongoDB, with indexing on any attribute, is a powerful new out-of-the-box capability. Hunk can also help to tighten integration for the many joint customers who use both Hadoop for complex data aggregation and MongoDB for document storage by putting data from both environments on one set of dashboards.'

'Joint customers tell us they want to use Hunk with Neo4j for telco operational analytics, fraud detection and Internet of Things. Hunk will soon allow users to bring together their connected data in the Neo4j graph database, and view it alongside their log data in Hadoop, all from a single Hunk interface,' said Emil Eifrem, CEO, Neo Technology. 'End users will reap the benefits of improved operational intelligence by combining Hunk's robust analytics with the power of the graph with Neo4j.'

'Integration between Sqrrl Enterprise and Hunk opens the door for our joint customers in the U.S. Department of Defense, intelligence community and private sector to benefit from rapid schema-less search, analytics and visualizations of tens of petabytes of data or more,' said Mark Terenzoni, CEO, Sqrrl. 'With the integration of Hunk's role-based security, Sqrrl's data-centric security and the power of Apache Accumulo's cell-level security, our joint customers can securely unlock the previously untapped potential of big data.'

Go to the Splunk website to learn more about what's new in Hunk and to watch the Hunk video.

Register now for .conf2014, the 5th Annual Splunk Worldwide Users' Conference. .conf2014 will feature more than 130 sessions and is expected to attract more than 4,000 Splunk customers, partners, experts and employees. .conf2014 is being held October 6-October 9 at MGM Grand in Las Vegas.

Splunk Inc. published this content on 17 August 2017 and is solely responsible for the information contained herein.
Distributed by Public, unedited and unaltered, on 17 August 2017 05:56:06 UTC.

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