Below is the difference between pivot and data models:  A Pivot is a dashboard panel in Splunk used to create the front views of the output with the help of filter. The main purpose of Pivots is to make user avoid SPL queries to populate the Pivot and make searching easier in Splunk by using existing data sets.   Data models are one of the most commonly used while creating structured, hierarchical model of data. Within this, datasets are arranged into parent and child datasets and can be helpful in case of using large a amount of unstructured data.