How often do you find yourself building custom UI components from scratch, only to discover there are plenty of ready-made options that could save you time and effort? When it comes to handling data efficiently in React applications, data grids (or data tables) are among the most required components of web apps. It’s hard to imagine a data-driven web project without the need to display, manipulate, and organize tabular data. While creating a basic data table is relatively easy, implementing more complex functionality can be challenging. Features like in-cell editing, handling massive datasets, real-time updates, providing export options, and ensuring cross-browser compatibility and responsiveness require significant effort. In this article, we will focus on ready-to-use React data grids, which provide high-demand features out-of-the-box and are promising to be among the most advanced solutions in the upcoming year. When selecting a data grid for your React project, consider the following key features: Sorting and filtering: the ability to sort data based on one or multiple columns and apply filters to refine data visibility based on specific criteria. Grouping: group related grid data by columns and display aggregate functions like sum, average, or count. Column resizing and reordering: configurable column width and the ability to reorder columns via drag-and-drop. Inline editing: in-place editing for cells with various cell editors Handling large datasets: pagination and other techniques for efficient data loading and rendering Export options: export data to formats like CSV, Excel, or PDF. Responsiveness: adaptability to different screen sizes and devices for better user experience across desktop and mobile platforms. Keyboard navigation: the ability to use keyboard navigation for enhanced accessibility and productivity Easy customization: flexibility to apply custom styles and themes to match the design of your app and rich API to extend datagrid's functionality Based on these criteria, we have selected the most powerful React data grids for your consideration. AG Grid AG Grid is one of the most popular data grids out there. It is known for its speed and ability to handle large amounts of data efficiently. It provides a comprehensive API for fine-grained control over every aspect of the grid, allowing you to customize its appearance, behavior, and functionality. This grid has zero dependencies, which means it will work with any framework, including React. Key features: sorting and advanced filtering integrated charting solution column resizing, spanning, locking, reordering rows pinning, spanning, reordering inline editing with various cell editors multiple cells selection footer with summary aggregation of the selected range grouping pivot mode nested data grids export to CSV, Excel Price: Free community version (MIT), Enterprise - from $999. SVAR React DataGrid SVAR React DataGrid is a new player in the market. It's an open source and high-performance data grid that efficiently manages large amounts of data and provides a wide range of advanced features for handling datasets of any complexity. The grid is lightweight, easy-to-use and optimized for big data, which means no delays or lags as the size of the dataset increases. In addition to basic functionalities like sorting, editing, resizing and dynamic loading, it supports a number of complex features, including multi-row selection, multi-column sorting, keyboard navigation, frozen and collapsible columns, tree data representation, etc. Key features: sorting in-cell editing responsive design frozen and collapsible columns multi-row selection keyboard navigation context menu predefined editors for column cells virtual scrolling, paging, dynamic loading tree data structure built-in helper (RestDataProvider) for data updates License: MIT Material React Table This is a React table library built on top of TanStack Table and Material UI. In addition to standard table functionalities like pagination, sorting, and filtering, Material React Table V3 provides advanced features such as virtualization, aggregation, fuzzy search, full editing (CRUD), column pinning, row pinning, row numbers, and click-to-copy. On top of that, the library is lightweight and allows developers to override and customize the appearance of all internal components, providing complete control over styling and UI. Key features: pagination, sorting and filtering row selection and expansion column resizing and reordering virtualization aggregation and grouping search click-to-copy customization and override of styles lightweight bundle size built with Material UI and TanStack Table V8 License: MIT MUI X DataGrid Material UI DataGrid is a part of MUI X, an advanced React component library. It leverages the power of React and TypeScript to provide a user-friendly and efficient way to display and manipulate large datasets. It implements both column and row virtualization, meaning only the visible parts of the grid are rendered, significantly improving performance, especially with large datasets. Key features: sorting, filtering column resizing & auto-sizing grouping with aggregation tree data support master-detail views multi-filters and header filters row grouping virtualization export to Excel Price: Free community version, PRO - from $540 per developer. Tabulator Tabulator is a JavaScript library that provides a comprehensive solution for creating interactive tables and data grids in web applications. There is a special React Component for Tabulator, which allows you use the component in a React friendly way. Tabulator is highly customizable and feature-rich, making it a popular choice for developers who need to display and manipulate tabular data. Key features: sorting, filtering, grouping frozen columns/rows in-cell editing row selection localization data export responsive layout undo/redo history column calculations tree structure clipboard operations cell range selection License: MIT Syncfusion React Data Grid Syncfusion React Data Grid is a comprehensive and feature-rich component for building powerful data grids in React applications. It provides advanced functionalities such as sorting, filtering, grouping, editing, and virtualization, along with a variety of customization options. It's available as a part of larger Syncfusion package for multiple platforms. Key features: excel-like filtering custom sorting aggregating rows record selection modes column customizations data summaries sorting (single and multi-column) filtering (various filter types, custom filters, diacritic filtering) selection (row, cell, multi-selection, programmatic selection) frozen rows and columns state management live data updates keyboard navigation screen reader support Price: paid from $395 per month (free 30-day trial). KendoReact Grid KendoReact Grid offers a comprehensive set of 100+ features. It is designed specifically for React, with zero dependencies, ensuring optimal performance and integration with your React apps. KendoReact Grid allows you to style cells, rows, and other elements using conditional formatting or custom HTML elements. It is also available within larger package, KendoReact. Key features: paging, sorting, filtering grouping and aggregates in-cell and inline editing virtualization export to PDF and Excel row and cell selection custom cells keyboard navigation column pinning and reordering highly customizable accessibility Price: paid from 999$ (free 30-day trial). TanStack table TanStack Table is a highly popular headless UI component for building tables and data grids, meaning that it gives you complete control over the markup and styling. You can integrate it seamlessly with your existing design systems. TanStack Table supports a wide range of data structures, including arrays, objects, and even nested data. It also provides powerful pivot and aggregation capabilities, enabling you to group and summarize data in various ways. Key features: sorting, filtering, pagination row grouping rows and columns pinning aggregation row selection row expansion column reordering column visibility special adapter for React License: MIT How to Choose the Right Data Grid for Your React Project? Start with your requirements: What features are essential for your project? Maybe it's filtering, sorting, in-cell editing, or export functionality. Evaluate options: Try out demos and read reviews. Consider your team's expertise: Some data grid components are easier to learn and use than others. Don't be afraid to experiment: Try out different data grids to find the best fit for your project. Conclusion By evaluating these factors and considering the options above, you can make an informed decision and choose a full-featured React data grid that aligns with your project's requirements, provides stable performance, customization options, and seamless integration, while also offering helpful documentation and support. If you have any suggestions to this list, feel free to add them in the comments. Cover image is generated with ideogram How often do you find yourself building custom UI components from scratch, only to discover there are plenty of ready-made options that could save you time and effort? When it comes to handling data efficiently in React applications, data grids (or data tables) are among the most required components of web apps. It’s hard to imagine a data-driven web project without the need to display, manipulate, and organize tabular data. While creating a basic data table is relatively easy, implementing more complex functionality can be challenging. Features like in-cell editing, handling massive datasets, real-time updates, providing export options, and ensuring cross-browser compatibility and responsiveness require significant effort. In this article, we will focus on ready-to-use React data grids, which provide high-demand features out-of-the-box and are promising to be among the most advanced solutions in the upcoming year. When selecting a data grid for your React project, consider the following key features: Sorting and filtering: the ability to sort data based on one or multiple columns and apply filters to refine data visibility based on specific criteria. Grouping: group related grid data by columns and display aggregate functions like sum, average, or count. Column resizing and reordering: configurable column width and the ability to reorder columns via drag-and-drop. Inline editing: in-place editing for cells with various cell editors Handling large datasets: pagination and other techniques for efficient data loading and rendering Export options: export data to formats like CSV, Excel, or PDF. Responsiveness: adaptability to different screen sizes and devices for better user experience across desktop and mobile platforms. Keyboard navigation: the ability to use keyboard navigation for enhanced accessibility and productivity Easy customization: flexibility to apply custom styles and themes to match the design of your app and rich API to extend datagrid's functionality Sorting and filtering : the ability to sort data based on one or multiple columns and apply filters to refine data visibility based on specific criteria. Sorting and filtering Grouping : group related grid data by columns and display aggregate functions like sum, average, or count. Grouping Column resizing and reordering: configurable column width and the ability to reorder columns via drag-and-drop. Inline editing : in-place editing for cells with various cell editors Inline editing Handling large datasets : pagination and other techniques for efficient data loading and rendering Handling large datasets Export options : export data to formats like CSV, Excel, or PDF. Export options Responsiveness : adaptability to different screen sizes and devices for better user experience across desktop and mobile platforms. Responsiveness Keyboard navigation : the ability to use keyboard navigation for enhanced accessibility and productivity Keyboard navigation Easy customization : flexibility to apply custom styles and themes to match the design of your app and rich API to extend datagrid's functionality Easy customization Based on these criteria, we have selected the most powerful React data grids for your consideration. AG Grid AG Grid AG Grid is one of the most popular data grids out there. It is known for its speed and ability to handle large amounts of data efficiently. It provides a comprehensive API for fine-grained control over every aspect of the grid, allowing you to customize its appearance, behavior, and functionality. This grid has zero dependencies, which means it will work with any framework, including React. AG Grid Key features: Key features: sorting and advanced filtering integrated charting solution column resizing, spanning, locking, reordering rows pinning, spanning, reordering inline editing with various cell editors multiple cells selection footer with summary aggregation of the selected range grouping pivot mode nested data grids export to CSV, Excel sorting and advanced filtering integrated charting solution column resizing, spanning, locking, reordering rows pinning, spanning, reordering inline editing with various cell editors multiple cells selection footer with summary aggregation of the selected range grouping pivot mode nested data grids export to CSV, Excel Price : Free community version (MIT), Enterprise - from $999. Price SVAR React DataGrid SVAR React DataGrid SVAR React DataGrid is a new player in the market. It's an open source and high-performance data grid that efficiently manages large amounts of data and provides a wide range of advanced features for handling datasets of any complexity. The grid is lightweight, easy-to-use and optimized for big data, which means no delays or lags as the size of the dataset increases. SVAR React DataGrid In addition to basic functionalities like sorting, editing, resizing and dynamic loading, it supports a number of complex features, including multi-row selection, multi-column sorting, keyboard navigation, frozen and collapsible columns, tree data representation, etc. Key features: Key features: sorting in-cell editing responsive design frozen and collapsible columns multi-row selection keyboard navigation context menu predefined editors for column cells virtual scrolling, paging, dynamic loading tree data structure built-in helper (RestDataProvider) for data updates sorting in-cell editing responsive design frozen and collapsible columns multi-row selection keyboard navigation context menu predefined editors for column cells virtual scrolling, paging, dynamic loading tree data structure built-in helper (RestDataProvider) for data updates License : MIT License Material React Table This is a React table library built on top of TanStack Table and Material UI. In addition to standard table functionalities like pagination, sorting, and filtering, Material React Table V3 provides advanced features such as virtualization, aggregation, fuzzy search, full editing (CRUD), column pinning, row pinning, row numbers, and click-to-copy. On top of that, the library is lightweight and allows developers to override and customize the appearance of all internal components, providing complete control over styling and UI. React table library Key features: Key features: pagination, sorting and filtering row selection and expansion column resizing and reordering virtualization aggregation and grouping search click-to-copy customization and override of styles lightweight bundle size built with Material UI and TanStack Table V8 pagination, sorting and filtering row selection and expansion column resizing and reordering virtualization aggregation and grouping search click-to-copy customization and override of styles lightweight bundle size built with Material UI and TanStack Table V8 License : MIT License MUI X DataGrid Material UI DataGrid is a part of MUI X, an advanced React component library. It leverages the power of React and TypeScript to provide a user-friendly and efficient way to display and manipulate large datasets. It implements both column and row virtualization, meaning only the visible parts of the grid are rendered, significantly improving performance, especially with large datasets. Material UI DataGrid Key features: Key features: sorting, filtering column resizing & auto-sizing grouping with aggregation tree data support master-detail views multi-filters and header filters row grouping virtualization export to Excel sorting, filtering column resizing & auto-sizing grouping with aggregation tree data support master-detail views multi-filters and header filters row grouping virtualization export to Excel Price : Free community version, PRO - from $540 per developer. Price Tabulator Tabulator is a JavaScript library that provides a comprehensive solution for creating interactive tables and data grids in web applications. There is a special React Component for Tabulator, which allows you use the component in a React friendly way. Tabulator is highly customizable and feature-rich, making it a popular choice for developers who need to display and manipulate tabular data. Tabulator Key features : Key features sorting, filtering, grouping frozen columns/rows in-cell editing row selection localization data export responsive layout undo/redo history column calculations tree structure clipboard operations cell range selection sorting, filtering, grouping frozen columns/rows in-cell editing row selection localization data export responsive layout undo/redo history column calculations tree structure clipboard operations cell range selection License : MIT License Syncfusion React Data Grid Syncfusion React Data Grid is a comprehensive and feature-rich component for building powerful data grids in React applications. It provides advanced functionalities such as sorting, filtering, grouping, editing, and virtualization, along with a variety of customization options. It's available as a part of larger Syncfusion package for multiple platforms. Syncfusion React Data Grid Key features: Key features: excel-like filtering custom sorting aggregating rows record selection modes column customizations data summaries sorting (single and multi-column) filtering (various filter types, custom filters, diacritic filtering) selection (row, cell, multi-selection, programmatic selection) frozen rows and columns state management live data updates keyboard navigation screen reader support excel-like filtering custom sorting aggregating rows record selection modes column customizations data summaries sorting (single and multi-column) filtering (various filter types, custom filters, diacritic filtering) selection (row, cell, multi-selection, programmatic selection) frozen rows and columns state management live data updates keyboard navigation screen reader support Price : paid from $395 per month (free 30-day trial). Price KendoReact Grid KendoReact Grid offers a comprehensive set of 100+ features. It is designed specifically for React, with zero dependencies, ensuring optimal performance and integration with your React apps. KendoReact Grid allows you to style cells, rows, and other elements using conditional formatting or custom HTML elements. It is also available within larger package, KendoReact. KendoReact Grid Key features: Key features: paging, sorting, filtering grouping and aggregates in-cell and inline editing virtualization export to PDF and Excel row and cell selection custom cells keyboard navigation column pinning and reordering highly customizable accessibility paging, sorting, filtering grouping and aggregates in-cell and inline editing virtualization export to PDF and Excel row and cell selection custom cells keyboard navigation column pinning and reordering highly customizable accessibility Price : paid from 999$ (free 30-day trial). Price TanStack table TanStack Table is a highly popular headless UI component for building tables and data grids, meaning that it gives you complete control over the markup and styling. You can integrate it seamlessly with your existing design systems. TanStack Table supports a wide range of data structures, including arrays, objects, and even nested data. It also provides powerful pivot and aggregation capabilities, enabling you to group and summarize data in various ways. TanStack Table Key features: Key features: sorting, filtering, pagination row grouping rows and columns pinning aggregation row selection row expansion column reordering column visibility special adapter for React sorting, filtering, pagination row grouping rows and columns pinning aggregation row selection row expansion column reordering column visibility special adapter for React License : MIT License How to Choose the Right Data Grid for Your React Project? Start with your requirements : What features are essential for your project? Maybe it's filtering, sorting, in-cell editing, or export functionality. Start with your requirements Evaluate options : Try out demos and read reviews. Evaluate options Consider your team's expertise : Some data grid components are easier to learn and use than others. Consider your team's expertise Don't be afraid to experiment : Try out different data grids to find the best fit for your project. Don't be afraid to experiment Conclusion By evaluating these factors and considering the options above, you can make an informed decision and choose a full-featured React data grid that aligns with your project's requirements, provides stable performance, customization options, and seamless integration, while also offering helpful documentation and support. If you have any suggestions to this list, feel free to add them in the comments. Cover image is generated with ideogram Cover image is generated with ideogram ideogram