To create scalable, high-performance applications, it’s essential to use a fast and powerful Blazor Data Grid component. These grids are designed to efficiently manage large datasets, preventing performance issues when executing tasks like sorting, pagination, filtering, styling, and customization. For example, with virtualization methodologies, efficient data fetching techniques, and well-optimized grid implementations, Blazor grids can process more than 100,000 rows with an impressive millisecond-level response time.
But what are the best Blazor Data Grids today to deliver these exceptional results? In this article, I will explain what features Blazor Grids should include and review the top six.
Key Features of a Top Blazor Data Grid
The best Blazor Data Grids should combine features that ensure performance, flexibility, and usability for great developer and end-user experiences. Here are the key grid pillars to consider:
High Performance and Scalability
A Blazor Data Grid should not lag when building data-rich and more complex Blazor apps that aim to display and handle large datasets. There is no place for excessive memory usage, UI freezes, or lack of responsiveness. To ensure that a Blazor grid performs well and can scale, prioritize rendering with virtualization functionalities, lazy loading, server-side processing, minimal UI re-renders, and implementing updates for optimized event handling.
Enterprise-Grade Support
Timely and knowledgeable support is essential. Issues can be inevitable when using external UI libraries and grids. That’s why it’s important to ensure that any bugs related to the Blazor Data Grid you are using can be quickly resolved and that you’ll have access to the help and guidance needed to minimize downtime.
Robust Feature Set
A key factor to consider when comparing features is the array of functionalities supported by the Blazor Data Grid. In addition to essential functions like editing, filtering, sorting, and pagination, it should also offer advanced features such as custom aggregation functions, advanced data editing, multi-column sorting, and more.
Options for Customization
Customization options make a Blazor Data Grid adaptable to requirements and app scenarios. A top-tier grid should include easy-to-tailor UI layouts, column template customizations, and different styling options. Support for theming, including pre-installed themes like Material, Tailwind CSS, and Bootstrap, should also be offered to align with an application’s general visual aesthetic.
The Top Six Blazor Data Grids
We’ve researched the best options for creating interactive apps with strong Blazor Data Grid performance. Below are the top six options.
Leveraging the tabular Blazor data Grid component, you can easily bind and show your data with minimal coding or configuration when using Ignite UI for Blazor. Filtering, sorting, templates, row selection, row grouping, row pinning, and movable columns are just some of this grid’s basic and advanced features. All Blazor tables can handle data sets of any size regarding rows or columns and are optimized for performance and real-time streaming data. Users can easily navigate unlimited records with a quick load time, flawless scrolling with no lag time or screen flicker, and complete grid column and row virtualization.
The best things Ignite UI for Blazor Data Grid offers:
- High-performance rendering optimized for large datasets and Excel-like experience.
- Advanced features like editing, advanced filtering, state persistence, virtualization, keyboard navigation, and more.
- Seamless integration with real-time data sources.
- 24×5 enterprise-grade assistance.
- Comprehensive documentation and valuable community support.
- Demos, code examples, Blazor sample apps.
- Transparent licensing model.
This Blazor library and its Blazor Data Grid, in particular, display and manage predominantly small data sets. Still, it could also work well with relatively large amounts of data. The lightweight data grid is a table displaying data from a data source. The more complex version can handle visual styling, filtering, editing, grouping, and other features. However, there are no advanced features, so the data handling capabilities and performance are limited.
The best things MudBlazor Blazor Data Grid offers:
- Free and open source.
- Simple integration into other projects.
- Good community support.
Formerly GrapeCity, this library provides a Blazor Data Grid component, allowing you to handle tabular data, display it, and analyze it. It offers editing, sorting, filtering, grouping, and intuitive column reordering features.
The best things Mescius Blazor Data Grid offers:
- Fast performance on the client side with FlexGrid’s data virtualization features.
- Features similar to Microsoft Excel.
- Designed to aid large data sets.
- Touch-enabled and responsive layouts.
- Built-in fluent styles.
- On-demand loading with FlexGrid.
The Blazorise library allows development without the need for CSS frameworks. It accomplishes this by rendering the exact HTML and CSS required by the underlying CSS framework. Since it is built entirely on .NET and C#, this makes it a good option for Blazor developers who want to take advantage of intuitive Blazor Data Grid components.
The best things Blazorise Blazor Data Grid offers:
- Main features like robust data layer, fast data processing, client-side data validation, and more.
- Great UX while manipulating an unlimited set of data.
- An intuitive API for real-time updates, accessibility, theming, and custom templates.
- Blazing fast performance.
The Blazor Data Grid provided by DevExpress delivers high performance and responsiveness for Blazor UI with master-detail support. Even though the developer community considers the library quite limited on the Blazor side, it has some great features, like binding to remote data, instant feedback source, async data processing, real-time data updates (observable data collections), and more.
The best things DevExpress Blazor Data Grid offers:
- Built-in data grid capabilities like high-performance data processing, sorting, grouping, editing, input validation, filtering, and more.
- Various usage scenarios include asynchronous data binding, observable data collection, etc.
- Fully customizable UI and behavior.
- Strong technical support and good documentation.
This Blazor Data Grid component is feature-rich, fast, and ideal for enterprise applications. It may be slightly complex for junior developers, but it offers a plethora of functionalities — filtering, sorting, editing, data binding, numerous column customizations, data summaries, etc.
The best things Syncfusion Blazor Data Grid offers:
- Quickly loading millions of records with ease.
- Mobile-first design that adapts to any resolution.
- Seamless data exporting options — Excel, PDF, CSV.
- Comprehensive documentation and technical support.
- Various demos and free trials.
Wrap Up
Many UI libraries are offering advanced Blazor Data Grid components. When picking one for your project, remember that you need a fast and reliable Blazor Data Grid for high-performance, scalable apps. This ensures that even as your app grows, it can handle large amounts of data without causing performance issues.
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