via smashingmagazine.com => original post link
This article is a sponsored by Bryntum
While there exist numerous data grid libraries with similar features out in the world, not all may adequately fit your business and app use cases. When choosing a suitable data grid library for your application, you must consider its feature set, performance, price, license, and support, among other factors. In this article, you’ll get a rundown of some popular data grid libraries that would be a great addition to any data-heavy application.
But first, let’s break down what a data grid is. A data grid is a table component that usually loads, presents, and manipulates a large data set. They typically ship with extended functionality like data filtering, sorting, selection, streaming, aggregation, highly configurable columns and rows, and so on to help users better read and handle the massive dataset. More specialized data grids even embed other components like charts and enable in-table editing. Owing to the enormous data they handle, data grids are often built with efficiency and streamlined performance in mind. Moreover, they tend to be highly customizable and extendable to meet niche use cases related to the data they present.