Hunk Product Tour
Explore, Analyze and Visualize Data in Hadoop and NoSQL
Getting value out of a big data initiative doesn't have to be a science project. Imagine integrating the processes of data exploration, analysis and visualization into a single, fluid user experience designed to drive rapid insights from your data in Hadoop, NoSQL data stores and more. Hunk™: Splunk Analytics for Hadoop and NoSQL Data Stores makes this possible.
With Hunk, ask and answer questions of raw data without having to define fixed schemas in Apache Hive or SQL on Hadoop. Based on years of experience building big data products deployed at thousands of Splunk customers, Hunk delivers insights from big data quickly, and without the complexity of alternative solutions.
Interactive Search Alternative to Apache Hive or SQL on Hadoop
Hunk is built upon a schema-on-the-fly technology, which means that you don't need to know anything about your data in advance. Search results return with an automatic structure based on fields, keywords, patterns over time, top values and more. Even event breaking and timestamp extraction are done at search time.
Hunk works on Apache Hadoop and most major distributions, including those from Cloudera, Hortonworks, IBM, MapR and Pivotal, and supports both first-generation MapReduce and YARN. Hunk streaming resource libraries enable developers to stream data from NoSQL and other data stores, such as Apache Accumulo, Apache Cassandra, MongoDB and Neo4j, for exploration, analysis and visualization in Hunk.
When you run a query in Hunk, it streams back interim results immediately while the MapReduce job continues to run in the background. This delivers a faster, more interactive experience because you can pause and refine queries without having to wait for full MapReduce jobs to finish.
Hunk empowers business and IT teams to analyze raw data in Hadoop and NoSQL data stores. Data models describe relationships in the underlying raw data, making it more meaningful and usable. Quickly generate charts, visualizations and dashboards using the pivot interface, without the need to master the Splunk Processing Language (SPL™). Transparently cache search results in Hadoop, improving reporting response times and performance without needing to move data.
Custom Dashboards and Views
An easy-to-use dashboard editor enables you to create and edit dashboards that integrate multiple charts and views to satisfy the needs of multiple business and IT stakeholders. Role-based access controls protect your sensitive data. Additional features such as charting overlay, pan-and-zoom controls and in-dashboard drill downs deliver a powerful analytics experience. You can even embed charts and dashboards into existing third-party business applications.
Rich Developer Framework