Performance Optimization for Syncfusion Blazor DataGrid

28 Nov 20257 minutes to read

The Syncfusion® Blazor DataGrid provides advanced features for displaying and managing large collections of data. When working with extensive datasets or grids containing numerous columns, performance optimization becomes essential to ensure responsive rendering and smooth interactions. This guide outlines proven strategies and best practices for improving DataGrid performance during data binding and rendering operations.

How to improve loading performance by binding large dataset

Rendering large collections in the Syncfusion® Blazor DataGrid can impact performance because each cell is treated as an individual Blazor component. To maintain responsiveness and reduce rendering overhead, apply the following optimization techniques:

Key performance optimization techniques

  • Paging – Divide data into pages to reduce the number of rows rendered at once.
  • Row virtualization – Render only rows visible in the viewport.
  • Infinite scrolling – Load data blocks on demand as the user scrolls.
  • Column virtualization – Render only visible columns for grids with many columns.
  • Reduce row height or use paging for browser height limitations – Handle scenarios where virtual scrolling hits browser height limits.
  • SignalR buffer adjustment for persistence – Prevent connection errors when persisting large column sets.

Optimizing performance with paging

Paging divides large collections into smaller, manageable segments, reducing the number of rows rendered at once. This approach improves initial load time and enhances overall responsiveness.

  • Enable paging in the DataGrid

    Configure the Paging feature to display data across multiple pages. This prevents rendering the entire collection simultaneously.

  • Combine paging with other features

    Paging works seamlessly with grouping, sorting, and editing, ensuring consistent functionality while improving performance.

For detailed implementation, refer to the paging documentation.

Optimizing performance with row virtualization or infinite scrolling

Rendering large collections in a single view can significantly impact performance. The Syncfusion® Blazor DataGrid supports techniques that load data on demand, reducing rendering overhead:

1. Row virtualization

Virtualization renders only the rows visible within the viewport instead of the entire collection. This approach minimizes DOM elements and improves responsiveness.

For more information on implementing row virtualization, refer to the documentation.

2. Infinite scrolling

Infinite scrolling loads additional data blocks as the user scrolls vertically. This “load-on-demand” approach prevents rendering all rows at once and ensures smooth scrolling.

For more information on implementing infinite scrolling, refer to the documentation.

Both techniques are effective for handling large collections without compromising performance.

Optimizing performance with column virtualization in large no of columns

Column virtualization in the Syncfusion® Blazor DataGrid optimizes rendering by displaying only the columns currently visible within the viewport. Additional columns are loaded dynamically as the user scrolls horizontally. This approach significantly reduces initial load time and improves responsiveness when working with grids that contain a large number of columns.

Both row and column virtualization can be enabled together to handle large collections efficiently. This combination ensures that only visible rows and columns are rendered, minimizing DOM elements and enhancing overall performance.

For more information on implementing column virtualization, refer to the documentation.

How to overcome browser height limitation in virtual scrolling

When virtual scrolling is enabled, the Syncfusion® Blazor DataGrid calculates its height using the formula:

Total height = Total record count × RowHeight

Browsers impose a maximum pixel height for scrollable elements. If the calculated height exceeds this limit, scrolling beyond a certain point becomes impossible. For example, with a RowHeight of 30px and 1,000,000 records, the total height is 30,000,000px, which exceeds most browsers’ limits (approximately 22,369,600px).

This limitation is a browser constraint, not specific to the DataGrid. It occurs even in standard HTML tables.

Recommended approaches

  • Reduce row height using the RowHeight property

    Lower the RowHeight property to decrease the overall height. If the height still exceeds the browser limit after adjustment, consider using paging.

  • Use paging instead of virtual scrolling

    Paging loads data on demand and avoids height limitations while maintaining compatibility with features such as Grouping and Editing, Sorting, and Filtering.

For more details, refer to the paging documentation and the virtual scrolling documentation.

Preventing connection errors when persistence is enabled

When the DataGrid attempts to apply persistent settings with a large number of columns, SignalR may encounter buffer size limitations, resulting in connection errors. To resolve this, increase the maximum message size for SignalR in the application configuration.

builder.Services.AddSignalR(hubOptions =>
{
    hubOptions.MaximumReceiveMessageSize = 10 * 1024 * 1024; // 10MB
});

For more details on SignalR configuration, refer to the official documentation.

How to improve performance of Blazor DataGrid in WASM application

The Syncfusion® Blazor DataGrid can be optimized for efficient rendering in Blazor WebAssembly applications. Following best practices helps reduce unnecessary rendering and improve responsiveness.

Recommended Practices

  1. Avoid unnecessary component renders

    • Prevent redundant rendering operations to improve performance.

  2. Avoid unnecessary component renders after grid events

    • Ensure grid events do not trigger unnecessary re-renders.

For additional guidelines, refer to the official Blazor WebAssembly performance documentation.

How to improve loading performance by binding data from service

When binding data from a service to the Syncfusion® Blazor DataGrid, consider the following approaches to optimize performance:

Recommended Practices

  1. Assign Data in the Created Event

    Set the DataSource in the Grid’s Created event instead of OnInitializedAsync. This ensures the Grid is rendered before data assignment, reducing startup delays.

  2. Use Custom Binding for Large Collections

    When working with large datasets, the Created event may trigger before data retrieval completes. In such cases, implement a custom binding approach using the Read or ReadAsync method. This allows fetching data on demand and customizing the displayed collection.

For detailed guidance, refer to:

How to improve loading performance by referring individual script and CSS

To optimize the initial rendering and improve performance during interactions, use the individual NuGet package (Syncfusion.Blazor.Grid) along with its corresponding script and CSS files instead of the consolidated package (Syncfusion.Blazor).

The consolidated package includes resources for all Syncfusion Blazor components, which increases overall package size and script load time. Referencing only the required Grid resources reduces payload size and improves rendering performance.

For more details, refer to:

How to update cell values without frequent server calls

The Syncfusion® Blazor DataGrid allows updating cell values efficiently without triggering frequent server calls. This approach is useful for live update scenarios where data is initially bound from the server but subsequent edits should not refresh the database.

Use the SetRowDataAsync method to update the Grid UI without affecting the underlying data source. To prevent database updates, pass true for the preventDataUpdate argument. Additionally, cancel built-in edit operations by setting args.Cancel to true.

public async Task OnClick()
{
    await Grid.SetRowDataAsync(10001, new Orders()
    {
        OrderID = 10001,
        CustomerID = "Updated",
        Freight = 20,
        OrderDate = DateTime.Now,
        ShipCity = "New"
    }, true);
}

How to optimize server-side data operations with adaptors

The Syncfusion® Blazor DataGrid supports multiple adaptors such as OData, ODataV4, WebAPI, and URL for performing server-side data operations and CRUD actions. These adaptors work with the SfDataManager component to bind remote data sources and execute operations efficiently.

During actions like filtering, sorting, paging, and grouping, the Grid generates queries based on the adaptor configuration. The application must process these queries and return the appropriate data to the Grid. For optimal performance, handle operations in the following order:

  • Filtering
  • Sorting
  • Aggregates
  • Paging
  • Grouping

For more details, refer to the Remote Data Binding documentation.

Strategic approaches to addressing latency challenges

When using dialog-oriented features such as Filtering or Dialog Editing, client-to-server communication can introduce delays if the server is hosted in a distant region. Increased network latency impacts responsiveness and overall performance.

Recommended Solution

  • Reduce Network Latency

    Host the server in a region closer to the majority of users. This minimizes the distance between client and server, improving response times.

For more details, refer to the documentation: Hosting and Deploying Blazor Applications

Microsoft Excel limitation while exporting millions of records to Excel file format

Microsoft Excel supports a maximum of 1,048,576 rows per worksheet. Exporting millions of records to Excel is not possible due to this limitation.

For large datasets, use alternative formats such as CSV (Comma-Separated Values) or other file types that can handle extensive data efficiently.

For more details, refer to the documentation: Excel Specifications and Limits