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.
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:
Licensing options and open source status,
Frontend framework support,
Ease of customization and extensibility,
Documentation, learning resources, community, and offered support.
AG Grid is a mature and fast data grid with features such as:
Row and range selection;
Filtering across multiple data types;
Advanced in-table editing;
Grouping, pivoting, aggregation, and tree data;
CSV and Excel import and export;
Embeddable components and accessories like tools panels, sidebars, menus, and so on;
Inline cell editing;
Localization and responsiveness;
Drag-and-drop columns and rows;
Column reordering and resizing;
Keyboard navigation & Accessibility;
Scrollable grid sections;
Summaries and aggregation;
Search and quick find;
PDF, PNG, and Excel export;
It integrates with any frontend framework, including Angular, React, and Vue. Bryntum Grid is optimized for superior rendering and scrolling performance through its virtual rendering. You can check out Bryntum’s detailed performance review here. When it comes to cost, Bryntum offers their grid on per-product pricing at a reasonable price. You can also purchase their complete bundle that includes other useful components like schedulers, Gantt charts, and calendars, among others. The grid is not open-sourced.
Bryntum offers training, webinars, guides, and various levels of extensive support that come in handy when learning to use the grid. Its API documentation is robust and covers multiple frontend frameworks, and there is a multitude of live demos on its site that demonstrate the grid’s powerful features.
Handsontable is a spreadsheet-like data grid with these note-worthy features:
Custom column headers and menus;
Column and row hiding, moving, and freezing;
Column filtering, sorting, groups;
Column and row virtualization;
Custom row headers;
Row sorting, pre-population, and trimming;
Cell merging and rendering;
Cell editors and validators;
Multiple cell types like dates, passwords, checkboxes, and so on;
CSV and other file type exports;
Data editing, formatting, sorting, and filtering;
Row and cell selection;
Column drag-and-drop and freezing;
Column and row reordering;
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.
Kendo UI Data Grid
Excel and PDF selection, copying, and exports;
Inline, pop-up, and batch data editing;
Custom data editors and validators;
Column virtualization for local and remote data;
Filtering, sorting, selection, search, sorting, and drag-and-drop;
Row and toolbar templates;
Frozen, sticky, resizable, and reorderable columns;
Column menus and multi-column headers;
Globalization and localization.
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.
DevExtreme Data Grid
Filtering, sorting, grouping, and searching;
Data summaries with aggregate functions;
Row, batch, cell, form, and pop-up data editing;
Single to multi-select record selection;
Fixed, resizable, recordable, and hidden columns;
Customizable Excel exports.
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.
Filter, sort, and search;
CSV, JSON, and Excel exports;
Row and cell selection;
Nested columns and column grouping;
Real-time data updates.
Tabulator is an open-source and free data grid with a rich feature set that includes:
Keyboard navigation and touch-friendliness;
Row, cell, and column context menus;
User action history, undo or redo actions, and a clipboard;
Column summaries and calculations;
Localization and RTL text direction support;
CSV and Excel exports;
Data editing, validation, formatting, persistence, and mutation;
Row selection and grouping;
Filtering and sorting;
Column and row freezing.
Toast UI Grid
Data summaries and calculations;
Hierarchical tree data representation;
Custom data input and editing elements;
Custom cell renderers;
Frozen, hidden, resizable, and reorderable columns;
Selection and sorting;
Client-side and server-side data binding;
Cell data maps;
Editing, sorting, and filtering;
Grouping and aggregation;
Tree Grids and a Master-Detail mode;
Excel imports and exports;
PDF exports and printing;
Globalization and Right-to-left text direction support;
Row and column pinning and freezing;
Search and filtering;
Column drag-and-drop reordering and resizing;
FlexGrid works with Angular, React, Vue, and PureJS. Its bundle is small, and the grid is fast and loads quickly. You can customize cell content with data maps. Unfortunately, Wijmo is not free or open-source. The GrapeCity site provides in-depth documentation, a knowledge base, a forum, case studies, white pages, demos, webinars, and video content. Technical support is offered at a premium, separate from the license purchase.
FancyGrid is a grid library with chart integration. Its notable features include:
Filtering and sorting;
Row and header grouping;
Excel and CSV export;
Grid to grid drag-and-drop;
Tree Grid, sub-grids, and sub-forms.
Webix Data Table
Editing, sorting, filtering, and validation;
Row and column drag-and-drop and resizing;
Sub-rows and sub-views.
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.