Working with large datasets in React? These are the five standout data grid libraries to enhance performance, features, and developer experience in 2025.
If you’re building data-heavy interfaces—dashboards, admin panels, or complex tables—choosing the right data grid tool can make all the difference. Here are the top five React data grid libraries that stand out this year:
1. MUI X Data Grid
A TypeScript-first grid that integrates beautifully with Material‑UI, offering a polished, responsive interface for large datasets.
- Sorting & Filtering: Multi-column client/server sorting, with menu filters.
- Editing & Selection: Inline row and cell editing; single/multi-selection modes.
- Advanced UI: Pinned columns, master-detail views, row spanning, and export tools.
- Performance: Built-in pagination and both row and column virtualization.
- Themes: Natural Material‑UI theming or standalone styling options.
2. AG Grid
An industry-standard, high-performance grid suitable for enterprise applications, available in both free and commercial versions.
- Rich Features: Advanced filtering, grouping, pivoting, and built-in chart support.
- Editing & Selection: Full row/cell editing with selection models.
- Performance: Handles massive datasets with ease via virtualization.
- Export & Integration: Excel/CSV export and seamless server-side data handling.
3. TanStack Table (React Table v8)
A “headless” library focusing on flexibility, giving you control over markup and styling while providing powerful table logic.
- Core Logic: Handles pagination, sorting, filtering, grouping, and row selection.
- Customization: Fully customizable UI layer—use any styling framework you like.
- Performance: Excellent support for large datasets with virtualized rows.
4. Syncfusion React Data Grid
A commercial-grade, feature-rich grid with enterprise performance and a free community tier.
- Data Abilities: Inline editing, HTTP binding, Excel-like filtering.
- Advanced Features: Grouping, pivot tables, PDF/Excel export.
- Theming & Virtualization: Supports popular CSS frameworks and large datasets efficiently.
5. React Data Grid
A TypeScript-based grid with a spreadsheet-like feel, offering inline editing and filtering on large tables.
- Editing & Selection: Granular cell/row editing with keyboard navigation.
- Basic Features: Sorting, filtering, column pinning, and row spanning support.
- Lightweight: Efficient rendering with virtualization for smooth UX.
đź“Ź Quick Comparison Snapshot
| Library | Best For | Strength |
|---|---|---|
| MUI X | MUI-based apps | Rich UI + Material theming |
| AG Grid | Enterprise use cases | Feature completeness |
| TanStack Table | Custom UI builds | Flexibility |
| Syncfusion | Commercial applications | All-in-one toolkit |
| React Data Grid | Spreadsheet-like UX | Inline editing |
âś… How to Choose the Right Grid
- Start with your UI stack: MUI use → pick MUI X. Custom UI → TanStack.
- Define features: Do you need pivoting or charts? AG Grid or Syncfusion fit best.
- Consider your data size: Virtualization is key for hundreds of thousands of rows.
- Evaluate cost: AG Grid and Syncfusion offer free tiers, but enterprise features may require licenses.
🔚 Final Thoughts
React’s ecosystem offers excellent data grid tools tailored for different needs—from sleek, UI-focused components to deeply customizable, powerful engines. Choosing the right one means balancing requirements, performance, and developer experience. Try demos, check documentation, and pick the grid that aligns with your project goals.
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