What to look for in a data grid
A data grid is a table component built to load, display, and manipulate large data sets. Data-heavy applications depend on grids for the usual table tasks — filtering, sorting, selection, aggregation — and often for more specialized work like in-table editing or embedding charts. Because the data volumes are large, grid libraries tend to be engineered for performance. They are also frequently customizable and extensible, so teams can adapt them to niche requirements.
Data grids turn up in simple tables, KPI dashboards, financial tracking interfaces, and inventory management systems. When evaluating a library, worth weighing are the feature set, price, licensing, framework support, ease of customization, performance, and the quality of documentation and community resources.
AG Grid
AG Grid is a mature, fast grid. Its feature set includes row and range selection, filtering across data types, cell rendering, advanced in-table editing, grouping, pivoting, aggregation, tree data, CSV and Excel import/export, drag-and-drop, clipboard support, and embeddable accessories like tool panels and sidebars. It also offers charts, internationalization, and keyboard navigation.
Originally built for Angular, AG Grid now supports vanilla JavaScript, React, and Vue, and it handles live data streaming. Column and row styling is customizable through themes and CSS/SASS. External components and charts can extend it. There is a free open source community version plus a paid enterprise edition with more functionality. Documentation is detailed, but dedicated support is limited to enterprise customers.
Bryntum Grid
Bryntum Grid is a pure JavaScript cross-browser grid. Notable features include inline cell editing, tooltips, customizable cells, localization, drag-and-drop rows and columns, column reordering, row filtering, keyboard navigation, row grouping, grouped headers, summaries, search, sorting, and tree view. It also supports PDF, PNG, and Excel export, virtual rendering, paging, responsive layouts, and multiple themes.
The grid works with any frontend framework, including Angular, React, and Vue. Its virtual rendering is designed to keep scrolling and rendering fast. Bryntum sells per-product licenses, and the grid is not open source. A complete bundle includes related components like scheduler, Gantt, and calendar. Bryntum provides training, webinars, guides, multiple support tiers, detailed API docs that cover several frameworks, and many live demos.
Handsontable
Handsontable gives a spreadsheet-like experience. Its features include custom column headers and menus, summaries, column and row hiding and freezing, column filtering and grouping, virtualization, row pre-population, clipboard functionality, cell merging and rendering, cell editors and validators, comments, multiple cell types (dates, passwords, checkboxes), CSV export, and internationalization.
It works with plain JavaScript, Angular, React, and Vue, and it remains performant with large data sets. You can build custom plugins to extend it. There is a free open source version for personal projects and a commercial license for production use, with the commercial tier including expanded support. The API docs are thorough, and the site provides examples, guides, case studies, and a developer forum.
DHTMLX JavaScript DataGrid
The DHTMLX DataGrid is included in the DHTMLX Suite of UI widgets. Core features are data editing, formatting, sorting and filtering, row and cell selection, column dragging and freezing, column and row reordering, tooltips, Excel export, and keyboard navigation.
The grid supports React, Angular, and Vue. Rows, cells, footers, headers, and tooltips are customizable through its API using CSS styling and templates. The library is not open source. There is a free standard edition with a limited API that can be difficult to adapt to basic professional needs; the paid PRO edition adds the expanded functionality needed for production work. The site offers documentation, samples, demos, and a community forum, with expanded support only on the PRO edition.
Kendo UI Grid
The Kendo UI Grid is part of the broader Kendo UI component library. It includes Excel and PDF exports and copying, inline and batch editing, custom data editors and validators, column virtualization for local and remote data, filtering, sorting, selection, drag-and-drop, row and toolbar templates, frozen and resizable columns, column menus, multi-column headers, and localization.
Kendo UI ships in jQuery, Angular, Vue, and React versions. Libraries are native to each framework, not wrappers, so performance should stay close to native. Column virtualization renders only visible grid parts. Themes are available to customize the look, and other components in the suite can be embedded inside the grid. The library is neither open source nor free. Documentation is comprehensive with demos, a knowledge base, a community forum, and a feedback portal; expanded support goes to licensed customers.
DevExtreme Data Grid
The DevExtreme Data Grid ships inside the DevExtreme component suite. Features include filtering, sorting, grouping and searching, summaries with aggregate functions, master-detail layouts, row and batch editing with multiple editor modes, data validation, selection modes from single to multi-row, fixed and resizable columns, and customizable Excel exports.
The suite supports jQuery, Angular, React, and Vue. A non-commercial license is free but limited; the full license unlocks pro features. The grid can bind to large server-side data sets, but beyond about 10,000 rows scrolling frame rate drops become noticeable. DevExtreme provides a theme builder for custom themes along with demos, code examples, documentation, and webinars. Bug tracking via tickets is available, though dedicated support is reserved for complete license holders.
FusionGrid
FusionGrid is part of the FusionCharts library. Its feature set includes filtering, sorting and search, CSV and Excel exports, row and cell selection, nested columns with grouping, and real-time data updates.
FusionGrid is free for non-commercial use. Enterprise customers pay for licenses available across several pricing tiers. The grid runs on vanilla JavaScript as well as Angular, React, and Vue, and loading large data sets does not visibly hurt performance. It is not open source. Documentation and examples on the site are limited, and dedicated technical support goes only to paid license holders.
Tabulator
Tabulator is a free open source data grid. Its feature set spans keyboard navigation, touch support, tree structures, table connections, context menus on rows and cells, undo/redo history, clipboard handling, column summaries and calculations, localization with RTL text, CSV and Excel exports, theming, data editing and validation, row selection and grouping, and column and row freezing.
It is pure JavaScript, runs with Angular, React, and Vue, and renders large data sets quickly through a virtualized DOM. Customization is essentially limited to CSS styling. Documentation and examples are extensive, and the contributor community is reachable through Discord and GitHub.
Open-Source Options With Advanced Features
Toast UI Grid, from the Toast UI library, is a free, open-source grid that ships in three packages for plain JavaScript, React, and Vue. It offers a full feature set that includes data summaries and calculations, hierarchical tree data, custom cell renderers and editors, cell merging, data validation, and clipboard support. A standout trait is its enhanced virtual scrolling, which allows it to handle large datasets without performance degradation. The project also supports themes for custom styling, plus column controls like freezing, hiding, resizing, and reordering. Its documentation is thorough, with detailed examples for each capability.
Enterprise Libraries for Framework-Agnostic Needs
FlexGrid, part of the GrapeCity Wijmo component library, works with Angular, React, Vue, and PureJS. It pairs a small bundle with fast load times and includes a broad list of features: client-side and server-side data binding, virtual scrolling, cell data maps, cell merging, and grouping with aggregation. It also handles tree grids and master-detail views, supports Excel imports/exports plus PDF exports and printing, and includes globalization and right-to-left text support. Row and column pinning, sticky headers, drag-and-drop reordering, and search round out the package. FlexGrid is not free: Wijmo licenses are paid, and technical support is also offered separately at a premium. The GrapeCity site provides extensive documentation, demos, webinars, and video content.
Webix Data Table comes from the Webix UI library and targets jQuery, Angular, React, and Vue projects. Its feature list covers editing, sorting, filtering, validation, column grouping, header menus, sparklines, sub-rows, and clipboard support, with components built in pure JavaScript. The library is offered in a free, open-source standard tier and an enterprise version that requires a paid license. A significant limitation is the lack of row virtualization, making the component unsuitable for big data sets unless you employ paging. The grid is customizable only through CSS. Technical support is reserved for license holders, though documentation, tutorials, and samples are freely available.
Chart-Integrated Grids and Flexible Selection
FancyGrid differentiates itself with chart integration, which is largely absent from the other libraries covered here. It works with plain JavaScript, Angular, React, Vue, and jQuery, and offers features such as filtering and sorting, checkbox selection, row and header grouping, forms, internationalization, column reordering, and export to Excel and CSV. The component also supports advanced structures like tree grids, sub-grids, sub-forms, and even drag-and-drop between grids. Its theming system and an embedded chart rendering layer make it flexible for visual-heavy data presentations. The source code is available on GitHub, with licenses sold at multiple tiers. Documentation includes detailed examples, and technical support for license holders is provided via Slack and other communication channels.
Choosing a Data Grid Library
Data grids remain essential in modern SaaS and business-critical applications, primarily improving readability and simplifying how users interact with large datasets. When evaluating a library, the core criteria are framework compatibility, licensing and pricing, technical support availability, and whether the feature set—configurable cells, sorting, filtering, grouping, summaries, and eventually cell merging—fits your specific business requirements. Performance under heavy data loads, customization options for unique use cases, and extensibility also factor into the decision. The libraries presented here differ materially on all these points, so matching your stack, budget, and data volume comes down to a careful trade-off, not just a checklist.



