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Smooth scrolling with virtualization
Virtualization renders only the rows and columns visible in the grid viewport, loading additional records dynamically as users scroll. Use it to display large datasets responsively while maintaining smooth performance and efficient resource usage.

Infinite scrolling for large datasets
Infinite scrolling fetches additional grid records on demand as users reach the bottom of the current view. Use it when applications require continuous navigation through very large datasets without interruptions, pagination, or manual actions.

Navigate datasets using paging
Paging organizes grid records into multiple pages, displaying only the relevant records per page. Use it when applications need structured navigation, easier data browsing, and reduced rendering workload for large datasets.

Perform server-side data operations
Server-side processing retrieves only the required records for display and performs filtering, sorting, searching, grouping, and CRUD operations on the server. Use this feature when applications require improved performance and server-managed processing for large datasets.
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Frequently Asked Questions
How does virtualization improve React Data Grid performance?
Virtualization improves performance by limiting rendering to visible rows and columns. This reduces browser overhead and enables smooth scrolling and interaction with large datasets.
When should infinite scrolling be used in React Data Grid?
Use infinite scrolling when large datasets should be loaded progressively within a single view rather than through paged navigation. It loads additional records as users scroll through the grid.
Can React Data Grid combine virtualization with server-side processing?
Yes. React Data Grid supports virtualization alongside server-side processing. Virtualization limits rendered content to visible rows and columns, while server-side processing handles data retrieval and operations on the server.
Can React Data Grid efficiently handle millions of records?
Yes. React Data Grid supports virtualization, paging, infinite scrolling, and server-side data processing to efficiently manage and display millions of records while maintaining responsive performance.
Can React Data Grid use server-side processing with SQL databases?
Yes. React Data Grid supports server-side processing with SQL databases, enabling filtering, sorting, paging, grouping, and aggregation to be performed on the server for improved scalability and performance.
How does React Data Grid load data on demand for large datasets?
React Data Grid loads data on demand using server-side processing, infinite scrolling, and virtualization. These features retrieve only the required records and render only the visible content, helping applications work efficiently with large datasets.
Resources
Learn more about React Data Grid performance
Explore demos, knowledge base articles, and documentation for React Data Grid performance.
Documentation Explore guides, setup details, and quick-start tips
Example demos See live use cases in action
Community forum Ask, share, and connect with peers
Knowledge base articles Find solutions and best practices fast.
Contact support Get expert help when needed.
Feature requests and bug reports Track issues and suggest improvements
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