Telerik WPF Grid handles millions of records without affecting the user experience. The grid utilizes horizontal and vertical virtualization and introduces container recycling for further improvement of speed and memory footprint, especially when bound to large data sets. The UI virtualization technique ensures that the grid creates only the needed containers (rows/cells) which are shown in the viewport of the grid. The container recycling pushes further the speed of scrolling horizontally and vertically. This feature enables RadGridView to reuse the existing containers over and over for different data items, instead of creating new ones. These techniques combined with our outstanding LINQ-based data engine guarantee the exceptional fast performance of Telerik’s RadGridView.
Using our brand new LINQ data engine now, you can group, filter, sort, page, aggregate, etc. directly on the data-base server with maximum performance when the grid is bound to LINQ to SQL, ADO.NET Entities, Telerik Open Access and any other standard LINQ provider.
RadGridView also provides
support for Parallel LINQ (PLINQ) – bringing high performance computing power onto the desktop. Using PLINQ, the grid can do sorting, filtering, grouping and aggregating on all CPU cores.
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