Hello Anthony,

I would like to provide you with some insights on handling large datasets in the igGrid component of your application to ensure smooth performance.

When working with extensive datasets containing thousands of records, the Virtualization property of the igGrid can be a highly effective solution. This feature enhances performance by improving rendering time, scrolling, and memory usage. Here’s how it works:

• Virtualization reduces the number of DOM objects in-memory, reusing them dynamically as the user scrolls through and interacts with the data.
• This significantly minimizes the browser's memory footprint, allowing for seamless operations even with large data volumes.

In an ASP.NET Core MVC project, you can enable Virtualization in the igGrid with the following configuration:

Html.Infragistics().Grid(Model)
    .ID("uigProducts")
    .PrimaryKey("ID")
    .Height("400px") // Specify the exact height of the grid
    .Virtualization(true)
    .VirtualizationMode(VirtualizationMode.Continuous)
    .Render()

It is essential to specify the exact height of the grid for Virtualization to function effectively.

Apart from Virtualization, the Paging feature is another excellent way to boost performance. Paging divides the data into smaller, more manageable chunks, displaying a subset of rows per page. This approach reduces the initial rendering load and enhances responsiveness.

Here’s an example configuration for enabling Paging in the igGrid:

Html.Infragistics().Grid(Model)
    .ID("uigProducts")
    .PrimaryKey("ID")
    .Height("400px")
    .Features(feature =>{features.Paging().PageSize(5);})
    .Render()

@ speed stars   I want to provide some tips with you on how to manage big datasets in your application's igGrid component to guarantee seamless operation.

@ Snow Rider 3D I want to provide some tips with you on how to manage big datasets in your application's igGrid component to guarantee seamless operation.