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.

Data grids can be applied to a variety of use cases. For one, you could use them for simple tables while taking advantage of their enhanced search, filtering, aggregation, and functionality. Data grids can be essential on KPI dashboards to get a unified view of multiple indicators from several data sources. Another area they can be useful is on financial dashboards, where tracking and visualizing accounting and financial information is crucial. Data grids can also be helpful in inventory management systems to track and manage goods, orders, sales, and other commercial operations. These are just a few use cases they can be instrumental in.

This article will run down a list of popular data grid libraries specialized for handling large datasets. They will be evaluated on a number of different factors:

Originally designed for Angular, it now also supports vanilla JavaScript, React, and Vue. It supports live data streaming. The grid’s layout and styling of its columns and rows can be customized through themes and CSS/SASS styling. “Accessories,” external components, and charts can be added to it to extend its functionality. While it offers a basic open source community version that is free to use, it does offer a licensed paid enterprise version with expanded functionality. The documentation available on its site is very detailed, but AG Grid only provides dedicated support for its enterprise product.

The DHTMLX DataGrid is compatible with React, Angular, and Vue. The grid’s rows, cells, footers, headers, and tooltips can be customized through its API with CSS styling and templates. The library it’s included in is not open source. It has a free standard edition with a limited API that sometimes makes it cumbersome to nearly impossible to adapt the component to basic professional requirements. Its PRO paid licensed edition ships with expanded functionality that solves the aforementioned issue. On its website, you can find in-depth documentation, samples, demos, and a community forum. Expanded technical support is included only in the PRO edition.

The Kendo UI library is available in jQuery, Angular, Vue, and React versions. The grid supports live data loading. The libraries are native to each framework it’s released for and are not wrappers. As such, they have fast native performance. Its column and row virtualization features render only visible parts of the grid for better performance. The library ships with themes that can be used to customize the grid. The other components available in the library can be embedded within the grid to extend its functionality. The library is not open source nor free. The grid has comprehensive documentation, demos, and samples, and its site has a knowledge base. It also has a community forum and feedback portal. Expanded support services are offered to its customers who purchase licenses.

The suite is compatible with jQuery, Angular, React, and Vue. It has a non-commercial license that is free but has limited features. Its complete license version isn’t free but enables pro features. The grid can load and bind to the large datasets server side. However, beyond 10,000 rows in the grid, it is easy to spot the frame rate dropping when scrolling. The suite offers a theme builder that you can use to generate a custom theme for the data grid. On the DevExtreme site, demos, code examples, exhaustive docs, and webinars are made available, and you can file tickets if you encounter bugs. Dedicated support is only offered to complete license holders.

FusionGrid offers free licenses for non-commercial use. Enterprise customers have to purchase licenses that are available at a variety of pricing tiers. The grid works with plain JavaScript and frontend frameworks like Angular, React, and Vue. FusionGrid supports the loading of large datasets without hampering performance. It is not open-sourced, and its site provides limited documentation and examples, so only paid license holders receive dedicated technical support.

It is written in pure JavaScript and works with several frontend frameworks, including Angular, React, and Vue. Large data sets are rendered in it fast with a virtualized DOM. Customization of the grid is only limited to CSS styling. It has comprehensive documentation and examples on its site. The vibrant community of contributors behind it can be interacted with on Discord and GitHub.

Webix is offered on a free and a paid license tier. It works with jQuery, Angular, React, and Vue. Its components are small and written with pure JavaScript. Unfortunately, the lack of row virtualization makes the component unsuitable for big data sets unless you use paging. You can customize the grid only using CSS. The standard version of the library is free and open source, while you need to purchase a license to access its enterprise version. Detailed documentation, webinars, tutorials, and samples are available on its site. Technical support is only available for license holders.

Data grids are essential in developing any modern SaaS or internal business-critical applications. A good table component should offer advanced functionality like configurable cells, rows, and columns, sorting, filtering, grouping, summaries, and so on. Data grids mainly improve the readability and make the manipulation of large datasets easier. Professional data grids should also be able to handle massive amounts of data without degrading your app’s performance. They also need to be customizable and extensible to fit niche use cases related to the data they present. When choosing a data grid library, you have to consider the frameworks it works with, pricing, licensing, technical support, and whether its feature set fits your business needs.