Use a table when the screen is simple
A semantic table or headless table is usually enough for read-only data, light sorting, light filtering, and a small number of rows. Keep it simple while the screen is still mostly display.
Move to a grid when users work inside the rows
Choose a data grid when the screen needs editing, validation, keyboard movement, selection, virtualization, pinned columns, copy and paste, server state, or custom cell workflows.
Shortlist by job
Use TanStack Table when you want table state and own the markup. Use Ace Grid when the product needs editable records, spreadsheet-style interaction, and a cleaner path from Core to Pro or Enterprise workflows.
Validate with a real fixture
Do not pick from screenshots. Run the same dataset, viewport, editing tasks, and scroll behavior through each candidate. The comparison guide and live benchmark give you a starting fixture.
Product evidence
Reproducible benchmark path
Ace Grid links to a public React data grid benchmark with pinned versions, a shared 50,000-row fixture, and published methodology.
Live Ace Grid example
React table decision preview
Compare a table, headless table, and full data-grid workflow against the same product requirements.
A grid path when table requirements grow
import { Grid } from "@ace-grid/core";
export function AccountsGrid({ rows, columns }) {
return (
<Grid
data={{ rows, columns }}
layout={{ width: 1200, height: 560 }}
columns={{ fillWidth: true }}
virtual={{ enableVirtualization: true, enableHorizontalVirtualization: true }}
/>
);
}
React table or React data grid
Limitations and tradeoffs
- Do not add a full grid to a small static table.
- Do not stay on a table abstraction after keyboard editing, validation, and virtualization become core requirements.
Common questions
Is TanStack Table a data grid?
TanStack Table is a headless table toolkit. It can power grid-like screens, but the application owns much of the UI, editing, virtualization wiring, and workflow behavior.