Splunk launches hunk 6.1 for Hadoop and NoSQL Data Stores

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to fix patterns or move data. By optimizing the repository for other data stores, such as NoSQL and Apache Accumulo, Apache Cassandra, MongoDB, and neo4j, Hunk 6.1 extends Hunk functionality other than Hadoop. Download the hunk 60-day free trial, or visit www.splunk.com/hunk for more information.

"Hunk simplifies the complex analysis of massive amounts of data in Hadoop and NoSQL," said Sanjay Mehta, vice president of Splunk product marketing. Hunk is an ideal choice for organizations seeking to release the value of large amounts of historical data in a faster and more convenient way. Other methods require professional skills, fixed patterns, complex planning, or moving data--all of which waste time or missed opportunities. After we extended the hunk functionality from Hadoop to the NoSQL database, we were excited to see what NoSQL developers could do. ”

"While using Hadoop and other large data stores continue to grow, our research shows that the results from these projects are limited," said Tony Cosentino, vice president and research director of Ventana Studies. With a focus on faster analysis and rapid realization of value, hunk is committed to changing this situation. By giving NoSQL developers other than Hadoop the ability to analyze, Splunk opens up opportunities for large data analysis. ”

A full-function analysis platform for Hadoop and NoSQL

Hunk 6.1 has several important new and upgraded product features to help organizations release the business value of Hadoop and NoSQL data storage:

Splunk Virtual Index Technology: This patent-pending feature separates the storage layer from the data access and analysis layer, making it easy for Hunk to send requests to different data stores in a transparent manner.

Report acceleration: Transparently hide search results in Hadoop, Shorten report response time, and improve performance without moving data. Drive more efficient use of Hadoop resources--as the volume of data increases and requests increase.

Interactive dashboards and charts: Quickly customize the dashboard with a new dashboard editor and enhance the analysis experience with chart overlay, zoom control, and dashboard in-depth analysis.

Embedded analysis: Embed hunk charts and dashboards into ordinary third-party commercial applications.

Optimizing the resource pool: enables developers to optimize data in other data stores, such as NoSQL and Apache Accumulo, Apache Cassandra, MongoDB, and neo4j, to enable search, analysis, and visualization within the hunk.

Supports multiple file formats: Automatic access to text files, sequence files, record columnar files (rcfile), optimized Row columnar (ORC) files, and parquet columnar files.

Pass through certification: able to submit MapReduce tasks and secure access to the Hadoop cluster via IT-assigned validated credentials and roles.

Hunk's powerful environment allows developers to build large data applications using languages and frameworks that they have used or are familiar with. Hunk includes a standards-based network framework, a rest API with documentation, Eclipse Plug-ins, and software development kits (SDKs) for C #, Java, JavaScript, Python, PHP, and Ruby.

Global organizations discuss hunk with leading nosql manufacturers

Hunk 6.1 has been tested by Splunk customers and several leading NoSQL vendors. The main features include report acceleration, interactive dashboard and charts, and pass through certification.

"Hunk has been a necessary entry point for the Belvedere trading for Hadoop space," said Michael Saia, head of the trading infrastructure team led by Belvedere, a leading private company specializing in stock index and commodity derivatives trading. Hunk enables interactive data search and validation in a way that the handwriting MapReduce task cannot achieve, especially for individuals who have more powerful quantitative backgrounds than actual programming experiences. In addition, hunk integrates our Hadoop data with the real-time machine data we have collected using Splunk enterprise, which greatly facilitates our use of the correlation between the two. ”

"For service and content providers, effective media delivery and traffic management requires balanced network resources, end-user experience, and monetization opportunities," said Mark Hopper, vice president of Vantrix Product Management, a global media delivery solution provider. With a simple but powerful user interface, hunk helps Vantrix quickly search, analyze, and visualize TB-level mobile network usage data, allowing us to provide our customers with a wealth of insight into network traffic, customer usage behavior, and the quality of their experience. We chose hunk because it can be run natively on our virtualized Hadoop platform, easily adapt to our traffic logs, give us a flexible and high-performance self-help model, and discover insights that help improve the business of our customers. As we promote hunk to more users under role-based security control, we are delighted to use the new report Acceleration feature that delivers search results faster than ever before. ”

Matt Asay, vice president of MongoDB Business development and marketing, said: "The marriage of hunk and MongoDB allows our total customers to understand and analyze data at an unprecedented rate, One of the powerful new out-of-the-box features is to help organizations search within hunk and visualize JSON files stored in MongoDB, indexed by either attribute. By placing data from two environments in a single set of dashboards, hunk also helps consolidate consolidation for a wide range of customers who use Hadoop for complex data aggregation and document storage using MongoDB. ”

Emil Eifrem, chief executive of Neo Marvell, said: "A total of customers have told us that they want to use hunk with NEO4J for telecommunications operations analysis, fraud monitoring and Internet of things." Hunk will soon allow users to bring together the associated data from the NEO4J graphics database and view it against the log data in Hadoop, all from a single hunk interface. By combining hunk's powerful analytics capabilities with neo4j graphics performance, end users will benefit from improved operational intelligence. ”

"The combination of SQRRL Enterprise and hunk has opened a door for our shared customers in the U.S. Department of Defense, the smart community and the private sector," said Mark Terenzoni, chief executive of SQRRL. Greatly benefit from fast and no fixed pattern search, analysis, and visualization of dozens of PB or greater levels of data. By consolidating hunk role-based security, SQRRL Data Center security, and Apache Accumulo cell-level security performance, our shared customers can safely unlock previously untapped large data potential. "