Managing Interactive Grid Performance with Large Strategy Game Data

I have been testing interactive grid rendering with large datasets and noticed performance drops when handling dynamic game-related data such as player stats, upgrade levels, attack history, and base layouts. I am curious how others optimize filtering, virtualization, or lazy loading in Ignite UI when the dataset updates frequently.

I recently faced this while organizing Clash of Clans strategy content and layouts on https://getclashofclans.com/, where some pages contain constantly changing game information and images.

Does anyone have suggestions for improving frontend responsiveness and reducing grid lag with large interactive datasets?

Hi, Thank you for your question.
For large, frequently updated datasets in Ignite UI for Angular, the following approaches are effective:

1. Virtualization
   All Ignite UI grids have row and column virtualization enabled by default. To ensure virtualization works correctly, make sure to set a fixed height on the grid element.
   -> Angular Grid Virtualization and Performance – Ignite UI for Angular
2. Remote Data Operations (Server-side Sorting & Filtering)
   When data updates frequently, use NoopSortingStrategy and NoopFilteringStrategy to delegate sorting and filtering to the server. This prevents unnecessary client-side reprocessing and keeps the grid responsive.
   -> Angular Grid Remote Data Operations – Ignite UI for Angular
3. Virtual Scrolling + Lazy Loading
   Use the (dataPreLoad) event to fetch only the data within the visible range on scroll, and bind [totalItemCount] to ensure the scrollbar is rendered accurately. Combining this with RxJS debounceTime is also recommended to avoid overloading the server with rapid consecutive requests.
   ->Angular Grid Paging | Angular Pagination Table | Infragistics

I hope these suggestions help improve the responsiveness of your grid. Please feel free to reach out if you have any further questions!

Best regards,
Tom