AG Grid vs Infinite Table vs MUI X DataGrid vs TanStack Table (2025)#

Whether you’re building analytics dashboards or complex line-of-business apps, picking the right DataGrid can save months of effort. In this 2025 guide we compare the most popular options: AG Grid, MUI X DataGrid, Infinite Table and TanStack Table.

TL;DR

If you need an enterprise-grade grid with advanced features out of the box and predictable performance at large scale, AG Grid and Infinite Table are your primary contenders, with MUI X DataGrid also being a great choice. For teams prioritizing a UI-first Material look and tight MUI integration, MUI X DataGrid is a solid choice. If you want headless table primitives (bring-your-own-rendering) and maximum flexibility, consider TanStack Table.

What matters most (and why)#

Performance: Rendering throughput, virtualization quality, and update cost with 10k–1M rows.
Features: Grouping, pivoting, tree data, column pinning, row editing, server-side support.
Developer Experience (DX): API clarity, TypeScript types, docs quality, customization depth.
Ecosystem & Longevity: Maintenance pace, community size, support options, licensing.

Quick comparison (2025)#

Capability	AG Grid	Infinite Table	MUI X DataGrid	TanStack Table
Rendering model	Fully virtualized	Fully virtualized	Fully virtualized	Headless (virtualization is user-land)
Large data UX (100k+ rows)	Strong with server-side row model	Optimized for very large datasets	Usable, best for mid-sized data	Depends on your virtualization layer
Grouping / Pivoting	Advanced (enterprise)	Advanced	Basic grouping (Pro/Prod tiers)	Headless; you compose features
Tree data	Yes (enterprise)	Yes	Limited	Compose
Editing	Robust	Robust, keyboard-first	Good	Compose
Custom cells	Cell renderers	JSX/React cells	React components	Bring your own
Theming	Custom + community themes	Tailwind/utility-first friendly, CSS variables	Native Material design	Bring your own
Licensing	MIT + per dev & per deployment	MIT + per dev	MIT + per dev	MIT
Best fit	Enterprise apps at scale	High‑performance apps needing smooth UX at scale	Products on Material UI stack	Custom UI tables needing flexibility

Note: Exact feature availability can vary by edition/version. Always verify against the current docs.

Performance considerations (what actually makes a grid fast)#

Column + row virtualization together: Minimizes DOM nodes for both axes, not just rows.
Cell update granularity: Minimal re-render work on scroll, filter, or edit.
Sticky/column pin performance: Avoids layout thrash when pinning/floating headers.
Server-side pipelines: Efficient infinite loading and partial hydration.

In practice, when data size grows and interactions become dense (scrolling, filtering, grouping), the grids that combine column and row virtualization with efficient reconciliation tend to feel fastest. Infinite Table invests heavily here, while AG Grid provides mature server-side models and proven stability.

For a primer on picking by use-case, see Which is the best datagrid? and our hands-on article on grouping by calculated values.

When to choose each grid#

Choose AG Grid if you want#

A battle-tested, feature-rich grid with enterprise depth.
Complex features like pivoting/aggregation ready on day one.
A wide community and many examples across frameworks.

Choose Infinite Table if you want#

Smooth UX with very large datasets and pinned columns.
Flexible React-first APIs with powerful customization.
An approachable, modern styling model (utility-first and CSS variables work well).

Explore the docs at infinite-table.com and a live demo.

Choose MUI X DataGrid if you want#

A Material UI-native experience and quick integration with MUI apps.
A strong design system out of the box.
Mid-sized data sets and good defaults.

Choose TanStack Table if you want#

Headless building blocks to craft exactly the table you need.
Maximum freedom over rendering and styling.
To pair with your own virtualization and cell components.

Pricing and licensing at a glance#

AG Grid: MIT core, Enterprise license for advanced features and support.
Infinite Table: MIT for core/dev use with commercial options for teams needing support and SLA.
MUI X DataGrid: MIT for DataGrid, Pro/Premium tiers for advanced features.
TanStack Table: MIT; you assemble features with your stack.

Always confirm pricing on vendor sites for the latest terms.

Migration notes and DX#

If you’re migrating from a basic table to a full DataGrid, budget time for column definitions, cell renderers, and state management.
When performance matters, profile pinned columns, row virtualization thresholds, and interaction heavy paths (filter + scroll + edit).
Ensure TypeScript coverage for column definitions and cell renderers to catch regressions early.

Final thoughts#

There isn’t a single “best” grid for every app. But there is a best fit for your requirements. If high performance and a polished UX at scale are must-haves, Infinite Table is a strong choice. If you need the most mature enterprise feature set and don’t mind heavier abstractions, AG Grid remains a safe bet. Material-first teams will be at home with MUI X DataGrid, and TanStack Table is excellent when you want to compose your own UI.

If you’d like help picking the right grid or pressure-testing your decision, reach out — we’re happy to help.

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