Big data doesn't have to be a science project. Hunk is the big data analytics platform that lets you rapidly explore, analyze and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience designed to provide insights from your big data without specialized skills, fixed schemas or months of development.
A Petabyte of Data Is a Terrible Thing to Waste
Hunk goes beyond typical data analysis methods and gives you the power to rapidly detect patterns and find anomalies across petabytes of raw data in Hadoop and NoSQL data stores.
- Interactively query raw data by pausing and refining searches
- Accelerate reporting response times by transparently caching search results
- Quickly create and share charts, graphs and dashboards
- Archive historical data in Splunk Enterprise to HDFS and Amazon S3
- Hunk connects to Apache Hadoop distributions, Cloudera CDH, Hortonworks Data Platform, IBM InfoSphere BigInsights, MapR M-series and Pivotal HD
Hunk Product Tour
Analyze Raw Data
Edit Dashboards and Views
Rich Development Environment
Splunk Virtual Index Technology
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. 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.
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. Transparently cache search results in Hadoop to improve reporting response times and performance without the need to move your data.
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.
The Splunk Virtual Index is a patent-pending capability that decouples the Splunk storage tier from the data access and analytics tiers, enabling Hunk to transparently route requests to different data stores. Hunk incorporates Splunk data models, pivot, dashboarding, role-based access controls and the Splunk developer environment. The analytics tier is powered by Splunk’s Search Processing Language (SPL™), the industry-leading method for interactive data exploration across large, diverse data sets.
Hunk 6.2 makes it faster and easier to unlock the business value of big data in Hadoop and NoSQL data stores.
Hunk SandboxStep-by-step tutorial and sample dashboards so you can rapidly learn Hunk interactive search and analytics without having to set up a Hadoop cluster.
Hunk AppsSearch, analyze and visualize data in NoSQL and other data stores through prepackaged connections, including the Hunk App for MongoDB and Sqrrl App for Hunk (Apache Accumulo).
Data ExplorerVisual wizard lets you browse and select relevant data sets and prepare raw data for analysis in Hadoop.
Archival for Splunk EnterpriseArchive historical data in Splunk Enterprise to commodity storage on HDFS and Amazon S3. Gain powerful new insights with federated queries that correlate real-time data from Splunk Enterprise with historical data in Hunk.
Event Pattern DetectionSpeeds analysis by automatically grouping similar events to discover meaningful patterns in the underlying data.
"Hunk has been an essential point-of-entry to the Hadoop space. It allows for fast, interactive exploration and validation of our data."
-Michael Saia, Infrastructure Team Lead
"The marriage of Hunk and MongoDB enables our joint customers to understand and analyze their data faster than ever."