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Pivot Gauge

The pivot gauge control for OLAP is ideal for highlighting business-critical Key Performance Indicator (KPI) information in executive dashboards and report cards. It lets you to present values against goals in a very intuitive manner. For relational data, pivot gauge lets you visualize the summary value using the pointer over a circular scale.

Data Binding

Bind both OLAP and relational data sources.

  • OLAP Data Sources - Supports SSAS, Mondrian, Active Pivot, and Oracle.
  • Relational Data Sources - Supports IEnumerable List, DataTable, and JSON.

Browser Compatibility

Our pivot gauge control is supported in all the major browsers in use today, including:

  • IE 8+
  • Firefox 2.0+
  • Chrome 1+
  • Opera 9+
  • Safari 3.0+

Key Performance Indicators

KPI are a collection of calculations associated with a measure group that evaluates business success. Typically, these calculations are a combination of multidimensional expressions (MDX) or calculated members. There are four types of available indicators:

  • KPI Goal
  • KPI Status
  • KPI Trend
  • KPI Value

Frame Types

Pivot gauge supports full-circle and half-circle frame types.


Range of numbers bound by a minimum and a maximum values.


Pointers are used to indicate a specific value on the scale.


Ticks mark the values that are present on the scale. The different types of ticks available are:

  • Major Ticks - used to mark important values on the scale.
  • Minor Ticks – used to mark less significant values and usually displayed between the major ticks.

Ranges and Indicators

Ranges highlight a range of values and can display different ranges in different colors. Ranges can be customized by changing border and background colors. Indicators are used to accurately measure small distances and angles and amplify them to make them more obvious.


Pivot gauge control can display multiple gauges in a structured layout by defining the row and column count. The display will wrap to fit the available space.


Pivot gauge provides options to display information such as measure name, member name, goal, and value when hovering over each gauge.


Localization is the process of customizing the user interface (UI) based on the local culture setting. Using this feature, data can be displayed in a specific language.


Pivot gauge supports 12 different types of predefined themes, allowing users to switch among them to view the controls in different formats. Supported themes are flat-azure, flat-azure-dark, flat-lime, flat-lime-dark, flat-saffron, flat-saffron-dark, gradient-azure, gradient-azure-dark, gradient-lime, gradient-lime-dark, gradient-saffron, and gradient-saffron-dark.

Responsive Layout

Craft sites to provide an optimal viewing experience and easy reading. Navigate with a minimum of resizing, panning, and scrolling across a wide range of devices from tablet to desktop. By using this feature, you can achieve an effective view of the pivot gauge in all devices including desktops, tablets, mobiles, etc.

Angular Binding

Angular binding provides structural Framework for dynamic web apps. It lets you use HTML as your template language and lets you extend HTML’s syntax to express your application’s components clearly and succinctly.

Knockout Binding

A Knockout binding system provides a concise and powerful way to link data to the UI. It’s generally easy and obvious to bind to simple data properties.

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