Both libraries live in the same problem space but take opposite approaches. TanStack Table is headless and composable; AG Grid is full-featured and batteries-included. AG Grid is the official open-source partner of TanStack Table — here is how to pick the right one, or use both together.
A quick reference across the dimensions teams weigh most.
| TanStack Table | AG Grid | |
|---|---|---|
| Architecture | Headless (bring your own UI) | Full component with built-in UI |
| License | MIT (free) | Community MIT · Enterprise commercial |
| Styling | Your CSS / design system | Theming engine with design tokens |
| Row virtualization | Pair with TanStack Virtual | Built in (rows and columns) |
| Row grouping & pivoting | Build it yourself | Enterprise, built in |
| Server-side row model | Build it yourself | Enterprise, built in |
| Excel export & charts | Bring your own | Enterprise, built in |
| Best for | Custom, lightweight tables | Large-scale enterprise data grids |
No — they are partners. AG Grid is the official open-source partner of TanStack Table. They solve the same broad problem with opposite philosophies: TanStack Table is headless and composable, AG Grid is full-featured and batteries-included. Many teams use both in the same product.
Yes. Because both are column-and-row driven, your column definitions and row data map over cleanly. TanStack Table column defs become AG Grid columnDefs, and your data array becomes rowData. The main shift is that AG Grid renders the UI for you instead of you rendering it.
It depends on the workload. TanStack Table is a thin logic layer, so raw overhead is minimal, but you supply the rendering and virtualization. AG Grid ships heavily optimized rendering, virtualization, and a server-side row model designed for very large datasets out of the box.
Absolutely. A common pattern is TanStack Table for lightweight, custom-styled tables and AG Grid for the heavy data-grid surfaces that need pivoting, grouping, or millions of rows.