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Tech2025.12.106 min

Performance Optimization Strategies for Large-Scale Data Grids

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Andrew Jang

ApexStack

Data grids are a core UI component in enterprise applications. We share optimization insights gained from developing BoosterGrid.

Virtual Scrolling

Even with 100,000 rows of data, only the 50-100 rows visible on screen are actually rendered in the DOM. This allows smooth 60fps scrolling even with hundreds of thousands of rows.

Immutable Data Structures and Memoization

While actively leveraging React.memo and useMemo, immutable data structures must be maintained for them to be effective. This minimizes cell-level re-rendering.

Web Worker-Based Data Processing

Sorting, filtering, and aggregation operations are performed in Web Workers instead of the main thread. This keeps the UI thread unblocked.

Canvas-Based Rendering

BoosterGrid adopts a hybrid approach: editable cells are rendered with the DOM, while read-only cells are rendered with Canvas.

The key to performance optimization is measurement. Find and fix bottlenecks based on Chrome DevTools Performance tab data, not guesswork.

BoosterGrid guarantees scrolling performance of 60fps or above even with data at the scale of 100,000 rows by 100 columns.

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