Best 12 React Data Table To Boost Your Workflow 2024 🚀

React Data Table grids help organize large amounts of web application data efficiently. This makes it easier for users to visualize the data. Many libraries are available to help developers incorporate data into their applications with simple and elegant data tables and data grids.

What Is a Data Grid/Data Table?

In its most basic form, a data grid could be seen as a table – data represented in rows and columns. Differences start already with basic functionality, like scrolling. While a table would not offer much more than a sticky header, usually showing the column definitions, the data grid can be much more sophisticated. The same pattern continues to sort (multi-column with precedence)and data selection. The latter is now cell-based instead of row-based.

Another important feature that many data grids offer is a data export function. In the simplest case, this is equivalent to copying the data to a clipboard. However, some requirements may include things such as exporting the data to a CSV document or an Excel XLSX file.

How Data Gird Can Be Helpful To Developers?

In general, data grids support interoperability with standard spreadsheet applications such as Excel, which can boost productivity. Bundled together with real-time updates and backend-supported collaboration techniques, this makes data grids real data manipulation beasts. It is no coincidence that Microsoft uses the Excel 365 engine in almost all other online data editing tools, such as their Power BI tools.

Features that truly distinguish data grids from tables are, for instance, custom cell renderings and formatting capabilities. Here we could think of charts or other rich visualizations shown in specific cells. Another example would be quick visual hints, such as sparklines.

Last, but certainly not least, there is a strong demand for accessibility features. Data grids offer support for cell highlighting, touch support, overlay icons, and keyboard navigation that comes close to or exceeds the capabilities of native spreadsheet applications.

The Best React Data Grid & React Data Table Library

The React ecosystem offers a wide range of data grid components that provide convenient prepackaged functionality with minimal code. Before exploring the available solutions, let’s consider how we can implement a data grid from scratch.

Since a data grid is essentially built around a table, we’ll begin with that. There are two primary approaches to designing a table in React:

1. The first approach follows the traditional HTML abstraction layer and involves creating components like TableContainer, TableHeader, TableFooter, TableRow, and TableCell using the concept of children.
2. The second approach utilizes a single Table component that employs render props and specialized props to customize the rendering behavior.

While the first option is suitable for creating a simple and consistently styled table, the second option, using a Table component with render props, offers greater flexibility by abstracting much of the representation logic. Consequently, it is commonly preferred when working with existing solutions.

Rather than reinventing the wheel by building a table programmatically, which still has the limitations of an HTML table, the optimal choice is to incorporate a data grid control. There are several excellent open-source options available, such as:

• React Virtualized
• React Data Grid
• React Table, and many more.

In this list, we will explore the 12 Best React Data Table Libraries. Let’s check them.

MUI-datatables (Free)

Another Material UI-based data table component on this list. MUI-Datatables is a great way to represent data tables using a Material UI-based design system in your React app. It supports features like filtering, selecting a row, searching, exporting the data table to CSV format, sorting, and more.

The DataGrid component is designed for use cases that are focused on handling large amounts of tabular data. While it comes with a more rigid structure, in exchange, you gain more powerful features.

Additionally, it provides a seamless and intuitive way to display, sort, and manipulate tabular data in React applications. Furthermore, it also offers a wide range of customizable features and a clean, modern design that aligns with Material Design principles.

With Material-UI Data Tables, developers can effortlessly create responsive and interactive tables that enhance the user experience and improve data visualization. Its comprehensive set of functionalities, such as pagination, filtering, and column sorting, empowers developers to efficiently handle large datasets while maintaining performance and responsiveness.

Key Features:

• Seamless integration with React applications
• Based on the popular Material-UI framework
• Clean and modern design following Material Design principles
• Responsive and mobile-friendly layouts
• Comprehensive documentation and well-designed API
• Customizable features, including pagination, filtering, and sorting
• Supports handling large datasets efficiently
• Intuitive syntax and modular architecture for easy implementation
• Active community support and regular updates
• Enhances data visualization and improves user experience

What Makes It A Preferable React Data Grid?

Material-UI Data Tables stand out as a preferable React data grid due to their seamless integration with React applications and their foundation on the widely adopted Material-UI framework. Its clean and modern design, following Material Design principles, enhances the overall visual appeal and user experience.

Besides, the library’s comprehensive documentation, customizable features, and active community support make it a reliable choice for developers, allowing for efficient handling of large datasets and empowering developers to create responsive and interactive data grids with ease.

React Virtualized

The React Virtualized datatable is a powerful and efficient component designed to handle large datasets with ease. By leveraging virtualization techniques, this datatable optimizes performance by rendering only the visible rows and columns, significantly reducing the memory footprint and rendering time. With its seamless integration into React applications, developers can effortlessly display and manage large amounts of tabular data without sacrificing user experience.

The React Virtualized datatable offers a comprehensive set of features to enhance data presentation and interaction. It provides flexible column customization options, including resizable columns and customizable headers, allowing developers to tailor the datatable to their specific requirements.

Additionally, it supports various data sorting and filtering capabilities, enabling users to easily navigate and manipulate the displayed data. With its robust pagination and infinite scrolling functionalities, the React Virtualized datatable ensures smooth scrolling performance, even when dealing with massive datasets. Overall, this datatable is a reliable solution for implementing high-performance and user-friendly data tables in React applications.

Key Features:

• Efficient virtualization
• Seamless React integration
• Customizable columns
• Sorting and filtering
• Pagination and infinite scrolling
• High-performance

What Makes It A Preferable React Data Grid?

React Virtualized is a preferable React data grid due to its efficient virtualization techniques, which render only visible data, resulting in improved performance and reduced memory usage. Its seamless integration with React applications ensures a smooth development experience. The ability to customize columns, along with sorting, filtering, pagination, and infinite scrolling features, provides a flexible and user-friendly data grid solution.

React data grid

React Data Grid is a powerful and versatile open-source component designed for creating interactive and customizable data grids in React applications. Besides, it offers a comprehensive set of features and functionalities that enable developers to efficiently display, manipulate, and interact with large sets of data. With its flexible architecture and modular design, it also provides seamless integration and effortless customization, allowing developers to tailor the grid to their specific needs and requirements.

The key features of React Data Grid include support for various data types, including text, numbers, and dates, along with sorting, filtering, and grouping capabilities to easily manage and organize data. It provides an extensive set of built-in editors and formatters, enabling seamless data input and formatting options. React Data Grid also supports column resizing, reordering, and pinning, allowing users to personalize the grid layout to enhance data visibility and readability.

Additionally, it offers powerful keyboard navigation and selection functionalities, making it convenient for users to navigate and interact with the grid using keyboard shortcuts. With its rich set of features and flexibility, React Data Grid empowers developers to create dynamic and efficient data grid interfaces for their React applications.

Key Features:

• React 18.0+ support
• Evergreen browsers and server-side rendering support
• Tree-shaking support and only one npm dependency to keep your bundles slim
• Great performance thanks to virtualization: columns and rows outside the viewport are not rendered
• Strictly typed with TypeScript
• Keyboard accessibility
• Light and dark mode support

What Makes It A Preferable React Data Grid?

React Data Grid, developed by Adazzle, stands out as a preferable React data grid for several reasons. Firstly, it excels in performance, with optimizations tailored for handling large datasets. Users can expect seamless rendering and scrolling, thanks to techniques like virtualization and partial rendering.

Secondly, the grid offers extensive customization options, enabling developers to adapt it to their specific requirements. Features such as column sorting, filtering, cell editing, and formatting can be easily implemented.

Lastly, the vibrant community surrounding React Data Grid ensures ongoing support, regular updates, and a wealth of resources, making it an attractive choice for developers seeking a robust and flexible solution for data grids in their React applications.

Reactdatagrid

React DataGrid is a powerful and versatile JavaScript library designed to enhance data presentation and manipulation within web applications. With its extensive set of features and components, React DataGrid offers developers a seamless and efficient way to display large amounts of data in a structured and user-friendly manner.

The library leverages the popular React framework, allowing for easy integration and customization while providing excellent performance and responsiveness. Whether it’s implementing sorting, filtering, grouping, or editing functionality, React DataGrid offers a comprehensive set of tools to handle complex data scenarios and deliver an exceptional user experience.

Pricing:

• Community (Free)
• Single Application – $299/Developer
• Multiple Application – $499/Developer

Key Features:

• Powerful JavaScript library for displaying and manipulating data in web applications
• Seamless integration with React framework for easy implementation and customization
• Efficient performance and responsiveness, even with large datasets
• Supports essential data operations such as sorting, filtering, grouping, and editing
• Flexible and extensible, allowing developers to customize the grid’s appearance and behavior
• A comprehensive range of customization options, including column widths, styles, and cell renderers
• Supports various data sources, including local arrays, remote APIs, and real-time data streaming
• Enables the creation of dynamic and interactive data-driven applications
• Provides a user-friendly and structured presentation of data
• Suitable for a wide range of applications requiring robust data handling capabilities.

What Makes It A Preferable React Data Grid?

The React DataGrid is a preferable choice due to its exceptional performance optimizations, comprehensive built-in functionalities, and customizable options, making it a versatile and user-friendly solution for handling large datasets in React applications.

Like the data table, you might also need a login page. Here, you can take the help of the best React Login Page template to save your time.

React datatable component

Creating yet another React table library came out of necessity while developing a web application for a growing startup. I discovered that while there are some great table libraries out there, some required heavy customization, were missing out-of-the-box features such as built-in sorting and pagination, or required an understanding of the atomic structure of HTML tables.

If you want to achieve balance with the force and want a simple but flexible table library give React Data Table Component a chance. If you require an Excel clone, then this is not the React table library you are looking for.

Features:

• Declarative configuration
• Sorting
• Selectable Rows
• Expandable Rows
• Pagination
• Themeable/Customizable
• Accessibility
• Responsive (via x-scroll/flex)

What Makes It A Preferable React Data Grid?

The react-data-table-component library is a preferable React data grid due to its high customizability, extensive feature set, and strong performance. It offers a customizable API, a wide range of features including sorting and pagination, and efficient handling of large datasets, making it an excellent choice for implementing data grids in React applications.

React-component

Rc-Table is another useful tiny React Table library with a set of basic functions that will equip you to build a well-structured React table. The table is good if you want to use your own styling. The other good thing about this library is that it is very easy to understand and start.

The React-component Table is a powerful tool for creating organized and visually appealing data displays within React applications. It offers a structured and modular approach to presenting tabular data, allowing developers to efficiently organize and manipulate data in a flexible manner. With its component-based architecture, the React-component Table promotes code reusability and simplifies maintenance, making it an ideal choice for applications that require dynamic data rendering.

The Table component’s versatility enables developers to easily customize its appearance, behavior, and data handling, ensuring seamless integration with diverse project requirements and design guidelines. By leveraging the React-component Table, developers can enhance the user experience by providing clear and structured data representations while maintaining a high level of code maintainability and efficiency.

Key Features:

• A structured and modular approach to displaying tabular data
• Component-based architecture for code reusability and maintenance
• Customizable appearance, behavior, and data handling
• Efficient rendering and handling of large datasets
• Optimized performance through virtual DOM updates
• Support for sorting, filtering, and pagination
• Compatibility with diverse data sources (local arrays, remote APIs, etc.)
• Fast, scalable, and interactive data displays

What Makes It A Preferable React Data Grid?

It is preferable for React data grids due to its high customizability, optimized performance with large datasets, and comprehensive built-in features such as sorting, filtering, pagination, column resizing, and cell editing. Additionally, the component is optimized for performance, ensuring smooth rendering and data handling, even with large datasets. It employs techniques like virtualization or pagination to minimize performance impact and provide a responsive user experience.

Fixed-data-table-2

The “fixed-data-table-2” is a highly versatile and feature-rich table component specifically designed for React.js. This component offers an array of functionalities that enhance the presentation and manipulation of tabular data within React applications. It provides developers with the ability to create tables with fixed headers, allowing for seamless scrolling through large datasets without losing sight of the column headers. Additionally, the component supports column resizing, sorting, and filtering, enabling users to interactively organize and explore data based on their preferences.

By leveraging “fixed-data-table-2,” developers can create dynamic and interactive tables that cater to the needs of their users. The component’s focus on efficient rendering ensures smooth performance, even when dealing with extensive data sets. With its comprehensive set of features, including fixed headers, scrolling, column resizing, sorting, and filtering capabilities, the “fixed-data-table-2” component proves to be a valuable asset in designing robust and user-friendly data tables within React.js applications.

Key features:

• Fixed headers and footer
• Both fixed and scrollable columns
• Handling huge amounts of data
• Variable row heights (with adaptive scroll positions)
• Column resizing
• Performant scrolling
• Customizable styling
• Jumping to a row or column
• Controlled scroll API allows touch support

What Makes It A Preferable React Data Grid?

FixedDataTable 2 is a preferable React data grid for several reasons. Firstly, it offers excellent performance when handling large datasets, ensuring smooth scrolling and efficient rendering of table content. Secondly, it provides essential features like fixed headers and columns, sorting, filtering, and column resizing, enhancing usability and interactivity. Lastly, its flexible and customizable architecture allows developers to adapt the grid to their specific application needs, making it a versatile choice for building data-driven web applications in React.

Conclusion:

In conclusion, the collection of the best React data table components and libraries presents a wide array of powerful tools for developers to enhance data visualization and manipulation in their applications. These components offer intuitive interfaces, robust functionality, and seamless integration with React frameworks, enabling developers to create dynamic and interactive data tables with ease.

Whether it’s the flexibility of React-Table, the efficiency of Material-UI’s DataTable, or the customizable features of Ant Design’s Table, this curated selection caters to diverse project requirements. By leveraging these top-tier components and libraries, developers can streamline their development process, deliver exceptional user experiences, and unlock the full potential of data-driven applications.