Effortlessly load and render large datasets by only rendering rows that appear in the currently viewable area.
For large datasets, traditional grid scrolling struggles to maintain performance, often becoming sluggish and resource-intensive. Virtual scrolling provides a more efficient alternative. Instead of rendering the entire dataset at once, it dynamically fetches and displays only the visible rows, keeping the rest cached and unloaded. This significantly reduces the number of elements in the application, resulting in a noticeably smoother scrolling experience, even with millions of data points. Virtual scrolling empowers users to seamlessly explore expansive datasets without compromising performance or responsiveness.