Tomasz majevva

## gist:1fea67961423f206bc41bb939b63f041
Modern dashboards routinely handle thousands — sometimes tens of thousands — of rows. Events, logs, financial records, analytics metrics. Render them all at once, and you’ll watch your browser crawl to a halt.

I recently built a fully interactive virtualized table in React that handles massive datasets without breaking a sweat. Here’s how I did it, and every architectural decision that made it possible.

The stack: TanStack React Table + TanStack Virtual.

The final result supports row virtualization, sticky headers, column sorting, column pinning, smooth column resizing, and always-visible scrollbars — all running buttery smooth on datasets with 50,000+ rows.

This architecture is well-suited for analytics dashboards, financial data, admin panels, or any scenario where you need to display large tabular data without sacrificing interactivity.
	Modern dashboards routinely handle thousands — sometimes tens of thousands — of rows. Events, logs, financial records, analytics metrics. Render them all at once, and you’ll watch your browser crawl to a halt.

	I recently built a fully interactive virtualized table in React that handles massive datasets without breaking a sweat. Here’s how I did it, and every architectural decision that made it possible.

	The stack: TanStack React Table + TanStack Virtual.

	The final result supports row virtualization, sticky headers, column sorting, column pinning, smooth column resizing, and always-visible scrollbars — all running buttery smooth on datasets with 50,000+ rows.

	This architecture is well-suited for analytics dashboards, financial data, admin panels, or any scenario where you need to display large tabular data without sacrificing interactivity.