Angular DataGrid is a solid MIT-licensed alternative if you are

Handling massive datasets in Angular usually leads to a choice between building a custom table from scratch or paying for a heavy enterprise license. I've been looking into Angular DataGrid, and it's refreshing to see a library actually leveraging Angular Signals for its architecture. Instead of fighting the framework, it uses the Angular CDK to handle virtualization, which is why it can technically support 100k+ rows without the browser hanging.

For anyone moving away from *ngFor loops—which kill performance the moment you hit a few hundred rows—this is a much cleaner AI workflow for building admin dashboards or CRM-style interfaces.

Getting started with the installation

If you want to swap out your current table implementation, the setup is straightforward. Since it doesn't require a separate CSS import, you don't have to deal with the usual style-override nightmares that come with most grid libraries.

1. Install the package via npm:

npm install angular-datagrid

2. Import the module into your component or standalone app:

import { DataGridModule } from 'angular-datagrid';

@Component({
  standalone: true,
  imports: [DataGridModule],
  template: `<angular-datagrid [data]="myData" [columns]="myCols"></angular-datagrid>`
})
export class UserListComponent {}

Breaking down the feature set

The open-source tier is surprisingly generous. Most "free" grids lock basic sorting or filtering behind a paywall, but here you get a full suite of tools.

• Performance: Built-in virtual scrolling (powered by CDK) keeps the DOM light.
• Data Manipulation: Sorting, filtering, pagination, and quick search are all included.
• UI Flexibility: You get column resizing, pinning, and reordering, plus layout persistence so the user's view doesn't reset on refresh.
• Advanced Views: It supports row grouping, aggregation, and even Tree Data.
• Theming: Out-of-the-box support for light, dark, and high-contrast modes.

If you actually need a full-blown spreadsheet experience, they have an Enterprise tier. That's where you find the "heavy" stuff like a Formula Engine, Undo/Redo, and PDF exports. For 90% of internal tools, the MIT version is more than enough.

How it stacks up against AG Grid

In a real-world deployment, the main difference is the cost and the "weight" of the library. AG Grid is the industry standard, but it can feel bloated if you only need a few advanced features. Angular DataGrid feels more "native" to the modern Angular ecosystem because of the Signals integration.

One specific detail that stands out is the test coverage; they have 116 passing tests, which gives me some confidence that the core logic isn't going to break during a minor framework update.

If you're starting a project from scratch and need a professional-grade table without the enterprise price tag, this is a great candidate for your stack. It saves you from writing thousands of lines of boilerplate for things like keyboard navigation and ARIA grid semantics, which are usually the first things developers forget to implement when building custom tables.