Infragistics has released two Data Visualization UI toolsets -- NetAdvantage for WPF Data Visualization and NetAdvantage for Silverlight Data Visualization. The Data Visualization UI component suites, sold separately, let you incorporate meaningful, actionable data into business intelligence applications.
NetAdvantage for WPF Data Visualization delivers parity in features and controls with NetAdvantage for Silverlight Data Visualization, which debuted last year. According to Infragistics, the common code base leads to faster time to market with controls for both platforms; little to no learning curve for developers moving between the WPF and Silverlight toolsets; and the need for less code if an application uses controls from both the NetAdvantage Data Visualization toolsets and NetAdvantage for .NET (sold separately).
In both suites, Infragistics includes the Pivot Grid UI control that lets developers leverage the full power of online analytical processing (OLAP) in business intelligence applications. The Pivot Grid for WPF Data Visualization and the Pivot Grid for Silverlight Data Visualization make it possible for developers to present multi-dimensional data that end users can slice and dice to easily extract the meaning from the numbers.
"Our comprehensive collection of data visualization-focused UI controls uses the strong set of capabilities in WPF and Silverlight to bring business intelligence data to life in a way that will inform and inspire business decision makers," said Infragistics' Dean Guida. "This powerful, unique UI solution is for developers who want to take complex, detailed information and communicate it clearly and effectively, in a way that people can understand, by using pivot grids, charts, gauges, timelines and maps."
Other key features include:
- Data Chart, a high-performance data chart optimized for high speed financial charting. The chart supports large datasets with millions of data points and real time updates. In addition, the data chart enables key statistical and technical indicators such as exponential fit and moving average trend lines.
- Barcode that renders the most commonly used barcode symbologies worldwide in standard formats that support everything from shipping labels to medical records.
- Tree map that letsdevelopers visually depict complex data values proportionately (much like a pie chart) while simultaneously showing multiple levels of detail without requiring users to drill-down.