TanStack Table vs AG Grid vs MUI Data Grid in 2026: Which React Data Grid Should You Use

It's the single biggest fork in this decision, and almost everything else follows from it. A headless table library — TanStack Table is the definitive example — gives you only the logic and state of a table: it computes the sorted, filtered, paginated rows, tracks which columns are visible, which rows are selected, how columns are sized and grouped, and it hands you that state through hooks. It renders nothing. You write the actual <table>, <tr>, and <td> markup (or divs), you apply your own CSS or Tailwind classes, and you decide exactly how every cell looks. The payoff is total control and a table that matches your design system pixel-for-pixel, with a tiny, unopinionated, framework-portable core. The cost is that you build the UI yourself. A data grid component — AG Grid and MUI X Data Grid — is the opposite bet: it renders the entire grid for you, markup, styling, scrollbars, and all. You pass in columns and rows as configuration and it draws a working, virtualized, interactive table with sorting, filtering, editing, and menus already wired up. The payoff is speed: you get a feature-rich grid in minutes without writing cell markup. The cost is that you inherit its DOM and look-and-feel, customization happens through its API rather than your own JSX, and the heavy features usually sit behind a paid license. So the mental split is: headless (TanStack) means you own the UI and it's free but it's more work; component grids (AG Grid, MUI) mean they own the UI and it's fast but less yours and often paid.

Yes — TanStack Table is genuinely free and open source under the permissive MIT license, with no paid tier, no per-developer fee, and no feature paywall. Sorting, multi-column filtering, pagination, grouping, aggregation, column visibility and ordering, column pinning and resizing, and row selection are all in the free core. That's a real difference from AG Grid and MUI, whose most powerful features cost money. The catch isn't licensing — it's labor. Because TanStack Table is headless, it renders nothing, so everything a component grid gives you for free in terms of UI you build yourself: the markup, the styling, the sticky headers, the loading and empty states, and — importantly — virtualization for large datasets, which is a separate library (TanStack Virtual) you wire in when you need to render thousands of rows without jank. For a team that wants a custom-designed table matched to a Tailwind or shadcn/ui design system, that work is exactly what you wanted to do anyway, and the result is lighter and more yours than any component grid. For a team that just wants a working, feature-dense grid on screen this afternoon, that same work is overhead a batteries-included grid would have absorbed. So the honest way to read 'free' here is: free of license cost, not free of engineering time — you trade money for control and hours.

AG Grid ships in two editions and the split matters, so read it before you build. AG Grid Community is free and MIT-licensed, and it's genuinely capable: sorting, filtering, pagination, in-cell editing, row selection, column pinning and resizing, keyboard navigation, custom cell renderers, and row/column virtualization are all in the free tier, which is enough for a great many dashboards. AG Grid Enterprise is a paid, commercial product licensed per developer (you buy seats for the engineers who build with it, with the price confirmed on AG Grid's site because it changes), and it unlocks the spreadsheet-grade features AG Grid is famous for: row grouping and aggregation, pivoting, the integrated charts, Excel export, master/detail rows, the tool panels and advanced filters, and the server-side and viewport row models for streaming millions of rows from the backend. Enterprise features work without a key but render a visible watermark and console warning until you buy a license, which is deliberate — you can prototype with everything, then pay when you ship. The practical guidance: if your grid needs pivoting, aggregation, Excel export, or truly massive server-driven datasets, budget for Enterprise from the start; if you need a fast, virtualized, editable grid without those, Community may carry you the whole way. Confirm current pricing and the exact free/paid feature boundary on AG Grid's own site before committing, because the line moves between versions.

MUI X Data Grid also comes in tiers, and choosing it usually means you've already chosen MUI as your component library. The base @mui/x-data-grid is free and MIT-licensed, and covers the everyday grid: sorting, filtering, pagination, column resizing/reordering/hiding, single and multi-row selection, custom cell rendering, and editing — all styled to match Material Design and your MUI theme with zero extra work. The commercial tiers are @mui/x-data-grid-pro and @mui/x-data-grid-premium, licensed per developer (confirm current pricing on MUI's site). Pro adds the features you reach for as data scales: column and row virtualization for large datasets, tree data and grouping, column pinning, the detail panel, and more advanced filtering. Premium sits on top of Pro and adds the analytics-grade capabilities: row grouping with aggregation, the Excel export, and clipboard/cell selection like a spreadsheet. A subtle but important point specific to MUI: even the free Data Grid virtualizes columns, but full row virtualization for large datasets is a Pro feature — so if you're rendering thousands of rows, you'll likely need Pro. The decision therefore tends to be less 'MUI vs the others' and more 'am I in the MUI ecosystem at all' — if yes, the Data Grid is the natural, best-integrated choice and you pick the tier by how much scale and analytics you need; if you're not using MUI, adopting it just for the grid is a big dependency to take on for one component.

For raw large-dataset performance and the deepest tools to handle it, AG Grid is the benchmark: it was built for data density, virtualizes both rows and columns aggressively, and — critically — offers a server-side row model (an Enterprise feature) that lets the grid request data in blocks from your backend as the user scrolls, sorts, or filters, so you can page through millions of rows without ever loading them all into the browser. That server-side model is the feature that separates 'a grid that shows a lot of rows' from 'a grid that scales to datasets too big to hold in memory,' and it's the main reason data-heavy enterprise apps standardize on AG Grid. MUI X Data Grid performs well too, but its full row virtualization for large client-side datasets is a Pro-tier feature, and its server-side data handling (lazy loading, server-side tree data) lives in Pro/Premium — so at scale, MUI's performance story is a paid one. TanStack Table's core is fast and lightweight, but because it's headless it does not virtualize on its own: rendering tens of thousands of rows smoothly means pairing it with TanStack Virtual and building the windowed rendering yourself, which is very achievable and performant but is work you own rather than a switch you flip. The honest summary: for the largest, backend-driven datasets with the least effort, AG Grid Enterprise leads; MUI Pro handles large client-side grids well if you're paying; and TanStack Table can match them on performance but expects you to assemble virtualization yourself. As always, benchmark with your real data shape and row count, because 'large' means very different things across apps.

All three run in Next.js, but they fit different front-end stacks, so match the grid to the styling approach you've already committed to. TanStack Table is the natural choice for a Tailwind or shadcn/ui codebase, and it's not a coincidence: shadcn/ui's own data table component is built on TanStack Table, so you get an official, copy-in pattern that renders the table with your Tailwind classes and shadcn primitives while TanStack handles the sorting, filtering, and pagination logic underneath. Because it's headless and framework-agnostic, it drops cleanly into the App Router — do the data fetching in a server component or route handler, pass rows to a client component, and let TanStack manage table state on the client. MUI X Data Grid is the right pick when your Next.js app is a MUI app: it inherits your MUI theme and Material Design tokens automatically, so the grid looks native to the rest of the UI with no styling work — but it pulls in MUI and emotion, and it's a poor fit if your project is Tailwind-based, since you'd be mixing two styling systems. AG Grid is framework-agnostic and works in Next.js via its React wrapper; it brings its own CSS themes (which you can customize) rather than adopting yours, so it looks like AG Grid unless you invest in theming — fine for a data-tool aesthetic, less seamless inside a heavily Tailwind-branded product. In all three cases the Next.js pattern is the same — fetch on the server, hydrate the grid on the client — and the real deciding factor is which one matches your existing design system: TanStack for Tailwind/shadcn, MUI Data Grid for MUI, AG Grid when features outweigh visual seamlessness.

For a template, admin dashboard, or app you intend to hand off or sell, the guidance mirrors every other tooling decision: default to the option with the widest recognition, the cleanest integration, and the fewest strings attached for the buyer, and deviate only for a stated reason. For most dashboard templates — especially anything built on Tailwind or shadcn/ui — TanStack Table is the strong default, because it's free and MIT-licensed (so the buyer inherits no per-seat cost or license key to manage), it's what shadcn's data table already uses (so buyers recognize the pattern instantly), and the table renders in your template's own design rather than a third-party grid's look. Crucially, it means you can sell the template without shipping code that depends on a paid license the buyer must purchase separately to unlock. If you ship AG Grid or MUI X, be scrupulously clear in the docs about the licensing boundary: state whether you used only the free Community/MIT tier or relied on Enterprise/Pro/Premium features, never commit or hardcode your own commercial license key into a repo you sell (the buyer needs their own), and don't demo Pro/Enterprise features the buyer would have to pay to actually use — a template that looks great only because it silently leans on a paid grid the buyer doesn't own is a broken promise. Whichever you choose, the resale rules are the same as for any code you sell: pick one grid and integrate it cleanly rather than half-wiring two, keep the columns and data layer readable so a buyer can trace how data reaches the table in minutes, document exactly which tier and license the buyer needs, and pin your dependency versions so a fresh install matches yours. A grid integration that quietly requires a license the buyer doesn't have — or that's a tangle of two abandoned table libraries — undercuts the production-ready impression no matter how polished the demo looks.