Learn what a tree grid is, how it combines hierarchical tree views with table columns, and when to use it in enterprise applications.
A tree grid is a user interface component that combines a tree view with a data grid. It displays hierarchical data in rows and columns, allowing users to expand and collapse parent-child relationships while still working with structured tabular information.
A normal data grid is usually flat. Each row is independent, like a record in a database table. A tree view shows hierarchy, but it often has limited column-based data. A tree grid combines both approaches. It can show a hierarchy in the first column and additional values in other columns, such as status, owner, date, cost, quantity, progress or category.
Tree grids are useful whenever data has a natural parent-child structure. Common examples include product categories, bill of materials, file systems, organizational structures, project tasks, permissions, financial accounts, nested orders, logistics structures, configuration trees and master-detail data.
The main advantage of a tree grid is context. Users can see both the structure and the details at the same time. They do not need to open separate screens to understand where an item belongs. They can expand a parent row, compare child rows, edit values, filter data or export the structure.
Advanced tree grids may support inline editing, drag and drop, grouping, sorting, formulas, aggregation, copy and paste, validation, frozen columns, custom rendering and backend synchronization. In complex enterprise applications, a tree grid can become the main interface for managing structured operational data.
A tree grid is different from a standard tree view. A tree view is usually best for navigation, while a tree grid is better for data management. If users only need to select a category or browse a simple hierarchy, a tree view may be enough. If they need to edit, compare, sort, calculate or export hierarchical data, a tree grid is usually a better choice.
TreeGrid is designed for complex hierarchical data scenarios where a basic table or simple tree component is not enough. It is especially useful when the application needs both a rich grid feature set and a clear parent-child structure.
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