Hunk: Splunk Analytics for Hadoop

“Hunk is transforming the way organisations analyse their data in Hadoop by replacing drawn out development cycles with software that enables customers to deploy and deliver insights in hours instead of weeks or months,” said Sanjay Mehta, vice president of product marketing, Splunk. “Hadoop is an increasingly important technology and many organisations are storing vast amounts of data in Hadoop. However, this often creates a problem because the data sets become too big to move and more traditional approaches to analytics of raw data in Hadoop require brittle, fixed schemas. These are key reasons our customers consistently tell us about the cost, time and sheer difficulty of getting analytics out of their Hadoop clusters. With Hunk, we applied everything Splunk has learned from ten years of experience with more than 6,000 customers to this unique challenge.”

“Splunk was early in understanding the importance of machine-generated data, and in building an analytic stack focused on it, with strengths in quasi-real-time interfaces and in schema-on-need handling of time series data,” said Curt Monash, president of Monash Research and editor of DBMS 2. “Now Splunk’s analytic tools are also available for machine-generated data stored in Hadoop. Splunk has further strengthened its schema-on-need story by adding its new higher-performance data store.”

Join hundreds of Splunk customers and partners today, October 29 for a live demo of Hunk at SplunkLive! San Francisco, at the InterContinental San Francisco and at Strata + Hadoop World at the New York Hilton Midtown. Register now for SplunkLive! San Francisco and learn more by watching the Hunk: Splunk Analytics for Hadoop video.

100+ Hunk Beta Participants Quickly Explore, Analyze and Visualize Data in Hadoop

More than 100 organisations took part in the Hunk beta program. Beta participants consistently reported simple installation and fast analytics results on data in Hadoop.

“Hunk lets us quickly and easily visualise data in our Hadoop clusters,” said Hideaki Sakaue, executive officer, Hitachi Solutions. “Hunk removes the need for specialised skill sets and lengthy development cycles so organisations can focus on innovation. We look forward to delivering this value to our customers.”

“Hunk enables our enterprise customers to achieve their big data goals,” said Kou Miyake, President and CEO, NTT DATA INTELLILINK Corp. “Hunk accelerates insights from Hadoop with a much faster time-to-value than open source alternatives. Hunk also enables enterprise developers to build big data applications because of the rich developer environment and tooling.”

“Hunk gives business analytics teams using Hadoop in their stack an enormous opportunity to improve overall efficiency for everyone – the analysts can more quickly explore data and create visualizations, the operations teams can better monitor data security and developers can better ensure data quality,” said Marcus Buda, senior data architect, Otto Group. “If you are working in an agile collaborative way, there are tremendous synergies in monitoring your data processing pipelines for Hadoop and at the same time using your knowledge about that data to develop business analytics dashboards with Hunk. The combination of Splunk software with the processing power of MapReduce and Hadoop generates a transparent and sustainable competitive advantage for your company within minutes.”

Rapid Analytics on Data in Hadoop Without Programming or Fixed Schemas

Hunk empowers everyone to quickly and easily derive actionable insights from raw, unstructured and polystructured data in Hadoop. Hunk works on Apache Hadoop and most major distributions, including those from Cloudera, Hortonworks, IBM, MapR and Pivotal. Product features and highlights include:

• Full-featured, Integrated Analytics – explore, analyse and visualise data, create dashboards and share reports from one integrated platform that works with Apache Hadoop or the Hadoop distribution of your choice.
• Fast Deployment – simply point Hunk at your Hadoop cluster and start exploring data immediately.
• Interactive Search and Results Preview – interact with data, change perspectives on-the-fly and preview results as MapReduce jobs are running. Hunk’s schema on-the-fly delivers the flexibility to run queries on your Hadoop data without the need to know up front what questions or reports you will need to ask later.
• Drag-and-drop Analytics – enable powerful analytics for everyone with Splunk’s patent-pending Data Models and the Pivot Interface, first released in Splunk Enterprise 6.
• Rich Developer Environment for Hadoop – build big data applications on top of data in Hadoop using the languages and frameworks that developers already know and love. Hunk includes a standards-based web framework, documented REST API and software development kits for C#, Java, JavaScript, Python, PHP and Ruby.