Splunk Hunk

Getting value from your big data isn’t always easy. Make the most of the large quantity of data you have stored in Hadoop with Hunk: Splunk Analytics for Hadoop. With Hunk you can rapidly explore, analyze and visualize data in Hadoop. Hunk delivers dramatic improvements in the speed and simplicity of getting insights from raw, unstructured or multi-structured big data—all without building fixed schemas or moving data to a separate in-memory store.

With Hunk you can easily archive Splunk Enterprise data to Hadoop for audit or compliance requirements. Lower costs by archiving this historical data to Hadoop on commodity hardware. Search and analyze across real-time data in Splunk Enterprise and historical data in Hadoop through a single, fluid user experience. Give anyone in your department or organization the power to perform rapid, self-service analytics on big data, easily unlocking actionable insights without months of development or specialized skills. And as you expect from Splunk, it’s secure—with role-based access controls to protect sensitive data.

Unified Search and Archiving

See the full picture by accessing real-time data from Splunk Enterprise and historical data stored in Hadoop. Search and analyze using the proven Splunk search language and visualizations.

Interactive Search

Schema-on-the-fly technology means that you don’t need to know anything about the data in advance. Hunk automatically adds structure and identifies fields of interest at search (query) time, such as keywords, patterns over time, top values and more.

Report Acceleration and Results Preview

Improve reporting response times and cluster performance by transparently caching data. Get a faster, interactive experience where you can pause and refine queries on the fly and view streaming interim results immediately.

Full-Featured, Integrated Analytics

Rapidly explore, analyze and visualize data; create dashboards and share reports. Instantly pivot from any search and automatically identify meaningful patterns in your data.