Hunk Now Handles NoSQL Data as Well as Data in Hadoop
Meanwhile, with the release of Hunk 6.1, Splunk extends Hunk, which provides Splunk analytics for Hadoop, to provide those same capabilities to streaming resource libraries for NoSQL data stores like MongoDB, Apache Accumulo, Apache Cassandra and Neo4j.
"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," says Matt Asay, vice president of Business Development and Marketing at MongoDB. "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."
New features in Hunk 6.1 include the following:
Report acceleration. This feature transparently caches search results in Hadoop rather than in other stores, improving reporting response times and performance without moving the data. Mehta notes the cache is additive, driving more efficient utilization of Hadoop resources as the amount of data grows and the number of queries increase.
Interactive dashboards and charts. Like Splunk Enterprise, the new release of Hunk delivers a dashboard editor that allows you to rapidly build new custom dashboards, along with features like charting overlay, pan-and-zoom controls and in-dashboard drilldowns.
Support for multiple file formats. Hunk 6.1 automates access to text files, sequence files, Record Columnar Files (RCFile), Optimized Row Columnar (ORC) files and Parquet columnar files.
Pass-through authentication This feature enables the submission of MapReduce jobs and secure access to Hadoop clusters using the authenticated credentials and roles assigned by IT.
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