DataGrid Feature Comparison
Compare the most feature-rich DataGrid libraries side by side to find the perfect match for your project requirements.
Pros
- Comprehensive feature set
- Great documentation
- Wide-scale adoption
- Cross-framework support
Cons
- Large bundle size
- Doesn't feel native in React
Pros
- Performance focused
- React-first design
- Fully type-safe
- Feature rich
- Awesome docs and support
Cons
- Newer in the market
Pros
- Seamless MUI integration
- Good documentation
Cons
- Many features require Pro license
- Limited customization
Pros
- Lightweight
- Highly customizable
- Headless design
Cons
- Requires more implementation work
- Limited built-in features
| Feature | AG Grid | Infinite Table | MUI DataGrid | TanStack Table |
|---|---|---|---|---|
| Virtualization Render only visible rows for better performance | ||||
| Column Virtualization Render only visible columns | Partial | |||
| Tree Data Support for hierarchical data | Enterprise | Pro | Partial | |
| Cell Editing | ||||
| Row Grouping | Enterprise | Pro | Partial | |
| Pivoting | Enterprise | Pro | Partial | |
| Excel Export | Enterprise | Pro | ||
| Filtering | ||||
| Sorting | ||||
| Column Resizing | Partial | |||
| Column Reordering | Custom | |||
| Master Detail Nested tables in rows | ||||
| Accessibility | Partial | |||
| TypeScript Support |
Latest from Our Blog
Stay updated with the latest insights, tutorials, and best practices for top DataGrids
Why We Built TheDataGrid.com
As developers, we've worked with many DataGrids and helped lots of teams solve their grid-related performance issues.
There's no "one-size-fits-all" DataGrid. Here's the most sensitive factors to consider when choosing a DataGrid:
Lightning Fast Rendering
Both row and column virtualization is necessary for best performance, in order to only render the visible cells. This keep scrolling smooth despite a massive data-set.
Low Memory Footprint
DOM depth directly affects memory usage - even with full DOM virtualization. A DataGrid with shallower nesting will perform visibly better when working with extremely large datasets.
Smooth Scrolling
Optimized column virtualization that efficiently handles tables with hundreds of columns without any performance impact.
Get our support for choosing the right DataGrid
Let's talk about your specific needs and we'll help you choose the right DataGrid for your application.
Quick Implementation Comparison
See how easy it is to get started with each data grid solution
import { AgGridReact } from "ag-grid-react";
import "ag-grid-community/styles/ag-grid.css";
import "ag-grid-community/styles/ag-theme-alpine.css";
import { AllCommunityModule, ColDef, ModuleRegistry } from "ag-grid-community";
ModuleRegistry.registerModules([AllCommunityModule]);
// Column definitions
const columnDefs: ColDef[] = [
{ field: "id", headerName: "ID" },
{ field: "name", headerName: "Name" },
{ field: "age", headerName: "Age" },
{ field: "city", headerName: "City" },
];
const rowData = [
{ id: 1, name: "John Doe", age: 30, city: "New York" },
{ id: 2, name: "Jane Smith", age: 25, city: "San Francisco" },
];
export function App() {
return (
<div className="ag-theme-alpine" style={{ height: 400 }}>
<AgGridReact columnDefs={columnDefs} rowData={rowData} />
</div>
);
}About the Team
The story behind TheDataGrid.com and why we're passionate about helping developers & companies choose the right DataGrid solution.
I've been working on building UI components for two decades now, with a strong focus on DataGrids in the last 15 years. Started out in front-end and JavaScript development before jQuery was a thing, and learned JS the hard way, with all of its quirks. Then worked with jQuery, YUI!, ExtJS, MooTools, and picked up React as a very early adopter.
Along the years, I've worked with many DataGrid solutions, from jQuery DataTables to AG Grid, Infinite Table, Handsontable, and many others.
I've had 4️⃣0️⃣0️⃣+ mentoring sessions on Codementor.io (all of them ⭐️⭐️⭐️⭐️⭐️) with various developers of different skill levels.
My goal with TheDataGrid.com is to provide real-life comparisons between popular data grid solutions so that developers can make informed decisions based on their specific project requirements.
With over two decades of experience in front-end development and data visualization, I've helped dozens of individuals and companies implement complex data-driven interfaces that perform well even with massive datasets.
Expertise:
In a 20 year career in finance IT, working for Goldman Sachs, Citi, MUFG, Bank of America, Societe Generale and other Tier 1 Banks, I built the front end for many business critical applications. These all included DataGrids as the core UI feature, and I worked with DevExpress, Infragistics, Syncfusion, Telerik and many others vendors
I soon realised that DataGrids were, in fact, the most important UI component in these applications, and their functionality and performance often decided the overall effectiveness and user satisfaction of the entire system. For this reason I set up Adaptable Tools in 2014 with a view to providing leading edge DataGrid extensions to give developers (and run time users) all the advanced DataGrid functionality they required.
Our first product was AdapTable Blotter.NET - a WPF and WinForms extension for 10 leading desktop DataGrids.
My current product is AdapTable a powerful extension for AG Grid used by many of the worlds leading companies. I set upTheDataGrid.com to make my DataGrid expertise, built up over 30 years, available to others.
Expertise:
With over 15 years of experience in fullstack enterprise development, I specialize in designing and implementing high-performance, resilient applications built to handle complex workflows and large datasets.
My focus is on creating robust front-end architectures using modern web technologies, where reactive programming, state management, and component design meet real-world scalability. On the backend, I've worked extensively on application servers, build pipelines, continuous integration, and deployment strategies—ensuring seamless delivery from code to production.
DataGrids have consistently been at the core of the systems I've built, acting as the primary interface for business-critical data. Whether building custom solutions or integrating with existing grid libraries like AG Grid, Handsontable, or DevExtreme, I’ve prioritized performance, usability, and maintainability in environments where milliseconds and UX matter. I have deep experience embedding DataGrids into complex front-end ecosystems—ensuring they are well-integrated, resilient, and consistent with the broader application architecture and user workflows.
At TheDataGrid.com , I share practical insights from hands-on experience in grid-heavy enterprise environments—where DataGrids aren’t just UI elements, but critical, deeply integrated components that power reliable, consistent, and high-performing applications.
Expertise:
Get in Touch
Have questions about which data grid to choose? Need help implementing AG Grid, Infinite Table or any other DataGrid out there? We're always happy to help teams & fellow developers.