The pivot grid control is an easily configurable, presentation-quality business control that reads both relational and OLAP data sources. It is displayed with drill-up and drill-down capabilities and features exceptional performance.
There is extensive support to bind both OLAP and relational data sources.
Pivot grid has built-in support to drill up and drill down to visualize the grid information in both abstract and detailed views.
End users can easily slice and dice the cube elements of their choice to visualize performance, trends, outliers, and more.
Slice and dice creates a new view for the end user by selecting limited dimensions and measures from the cube and by filtering them.
KPIs are a collection of calculations associated with a measure group that evaluates business success.
Extensive support has been provided to load and render large amounts of data through paging or virtual scrolling without any performance constraints.
Named sets simplify MDX queries and provide useful aliases for complex, commonly used set expressions.
You can create and display dimensions and measures on your own. This can be done only through the report programmatically.
Grouping bar is automatically populated with fields from the bound data source. It allows end users to drag fields, filter and sort them, and create pivot views at run time. This is applicable only for relational data sources.
The pivot table field list, also known as the pivot schema designer, is a powerful tool that allows you to create and manage a pivot table with either multidimensional or relational data sources. End users can drag fields and filter them at run time as they wish.
Users can apply filtering for selective displays of records either by including or excluding values.
Users can order rows and columns based on labels.
You can store the reports from the current session as a stream in a database for later use.
The pivot grid control is supported in all the major browsers in use today, including:
There is built-in integration with popular third-party frameworks such as AngularJS.
Pivot grid allows users to define conditions that, when met, format cells’ font, color, and border settings.
Users can refresh the control only on demand instead of during every UI interaction.
You can insert a new calculated field based on the existing calculated items either through a dialog window at run time or through code behind.
Pivot grid can retrieve information about a particular cell on clicking a hyperlink cell. It later allows you to perform custom operations programmatically.
Pivot grid allows you to perform custom operations programmatically on right-clicking a cell. For example, a context menu or dialog can be created or invoked on right-clicking.
There is extensive support to select a range of value cells.
Tooltips provides basic information about a cell while hovering over it.
Users can edit values at run time and save their changes to the underlying data source, thereby reflecting its update in the total cells.
You can easily resize each column’s width through a simple drag operation at run time.
Users can freeze row and column headers while performing scroll operations in order to have a precise view of the content.
You can hide subtotals, grand totals, or both in columns and rows.
You can export pivot grid to Excel, Word, and PDF documents. These documents can be saved from the browser to the local disk drive for later use.
Pivot grid ships with a set of 13 stunning, built-in themes.
The pivot grid’s appearance can be customized to any extent programmatically.
Easily customize all aspects of the control’s appearance using the Theme Studio utility.