Infragistics Blog - #react grid

When your React application needs to display 10,000, 100,000, or 1,000,000 rows, grid performance becomes an architectural concern rather than a UI detail. Large datasets expose weaknesses quickly: oversized DOM trees, scroll jank, blocked main-thread filtering, expensive re-renders, and poor memory behavior under live updates.

Choosing between a React Tree Grid and a Hierarchical Grid can significantly impact your app’s performance, usability, and scalability. While both components handle hierarchical data, they serve different purposes. A Tree Grid is ideal for recursive datasets where each level shares the same structure, such as categories or org charts. In contrast, a Hierarchical Grid is better suited for relational data with distinct entities at each level, like customer → order → line item. Understanding when to use each approach helps prevent costly refactoring and ensures a more intuitive user experience as your application grows.

When selecting a React data grid, in addition to performance and price, you should also consider how real users will interact with it and what features you will need to match app requirements and users’ expectations. Features like Advanced Filtering, State Persistence, Keyboard Navigation, and Export to Excel aren't just a necessity.