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React Tree Grid vs Hierarchical Grid: Which to Use?

React Tree Grid vs Hierarchical Grid: Which to Use?

Choosing between a React Tree Grid and a Hierarchical Grid can significantly impact your app’s performance, usability, and scalability. While both components handle hierarchical data, they serve different purposes. A Tree Grid is ideal for recursive datasets where each level shares the same structure, such as categories or org charts. In contrast, a Hierarchical Grid is better suited for relational data with distinct entities at each level, like customer → order → line item. Understanding when to use each approach helps prevent costly refactoring and ensures a more intuitive user experience as your application grows.

5 min read

Choosing between a React Tree Grid vs Hierarchical Grid can impact performance, usability, and long-term maintainability.

The wrong choice often does not fail immediately. Instead, issues appear later when:

  • Columns no longer fit the data
  • Interactions become confusing
  • Deep drill-down requires refactoring

So the real question is: Does each level represent the same data type, or different entities?

This guide explains:

  • The difference between a React Tree Grid and a React Hierarchical Grid
  • When to use each approach
  • Code examples using Ignite UI for React
  • Performance and scalability considerations
Side-by-side comparison of React Tree Grid and React Hierarchical Grid

TL;DR

  • Use a React Tree Grid for recursive data with the same structure across all levels
  • Use a React Hierarchical Grid for relational data with different entities per level
  • Tree Grid = single grid, better for large datasets
  • Hierarchical Grid = nested grids, better for drill-down scenarios

React Tree Grid vs Hierarchical Grid: Quick Answer

A React Tree Grid is best for recursive data where each level shares the same structure.

A React Hierarchical Grid is best for relational data where each level represents a different entity.

  • Use a Tree Grid for folders, categories, org charts, and portfolios
  • Use a Hierarchical Grid for customer → order → line item or client → account → position

Rule of thumb: Same data structure = Tree Grid. Different data structures = Hierarchical Grid.

What Is a React Tree Grid?

A React Tree Grid displays hierarchical data in a single grid using parent-child relationships. Each row can expand inline, and every level uses the same column schema.

Equities
├── Technology
│   ├── Apple
│   ├── Microsoft
│   └── NVIDIA
├── Financials
│   ├── JPMorgan
│   └── Goldman Sachs
└── Healthcare
    ├── UnitedHealth
    └── Eli Lilly

When to Use a React Tree Grid

  • Your data is recursive
  • Each level has the same structure
  • You want a single, continuous grid view
  • You need inline expand and collapse

React Tree Grid Example

import {
  IgrTreeGrid,
  IgrColumn
} from 'igniteui-react-grids';

const portfolio = [
  {
    id: 1,
    name: 'Equities',
    marketValue: 2400000,
    children: [
      {
        id: 2,
        name: 'Technology',
        marketValue: 1100000,
        children: [
          { id: 3, name: 'Apple', ticker: 'AAPL', marketValue: 420000 },
          { id: 4, name: 'Microsoft', ticker: 'MSFT', marketValue: 360000 }
        ]
      }
    ]
  }
];

export default function PortfolioTreeGrid() {
  return (
    <IgrTreeGrid
      data={portfolio}
      primaryKey="id"
      childDataKey="children"
      autoGenerate={false}
      rowSelection="single"
      allowFiltering={true}
    >
      <IgrColumn field="name" header="Name" sortable={true} />
      <IgrColumn field="ticker" header="Ticker" sortable={true} />
      <IgrColumn field="marketValue" header="Market Value" dataType="number" sortable={true} />
    </IgrTreeGrid>
  );
}

What Is a React Hierarchical Grid?

A React Hierarchical Grid displays related data using nested child grids. Each level represents a different entity and can have its own columns and configuration.

Client
└── Account
    └── Position

When to Use a React Hierarchical Grid

  • Each level represents a different entity
  • Each level requires different columns
  • You need drill-down interactions
  • You want independent configuration per level

React Hierarchical Grid Example

import {
  IgrHierarchicalGrid,
  IgrColumn,
  IgrRowIsland
} from 'igniteui-react-grids';

export default function BrokerageHierarchy({ clients }) {
  return (
    <IgrHierarchicalGrid
      data={clients}
      autoGenerate={false}
      primaryKey="clientId"
      rowSelection="single"
    >
      <IgrColumn field="clientCode" header="Client Code" />
      <IgrColumn field="clientName" header="Client Name" />
      <IgrColumn field="aum" header="AUM" dataType="number" />

      <IgrRowIsland key="accounts" autoGenerate={false} primaryKey="accountId">
        <IgrColumn field="accountNumber" header="Account" />
        <IgrColumn field="accountType" header="Type" />
        <IgrColumn field="cash" header="Cash" dataType="number" />

        <IgrRowIsland key="positions" autoGenerate={false} primaryKey="positionId">
          <IgrColumn field="symbol" header="Symbol" />
          <IgrColumn field="shares" header="Shares" dataType="number" />
          <IgrColumn field="price" header="Price" dataType="number" />
        </IgrRowIsland>
      </IgrRowIsland>
    </IgrHierarchicalGrid>
  );
}

React Tree Grid vs Hierarchical Grid: Key Differences

FeatureReact Tree GridReact Hierarchical Grid
Data modelRecursiveRelational
SchemaSame across levelsDifferent per level
RenderingSingle gridNested grids
UX patternContinuous scanningDrill-down
ComponentIgrTreeGridIgrHierarchicalGrid

Behavior Differences

Tree Grid Behavior

  • Inline row expansion
  • Shared columns across levels
  • Hierarchical sorting
  • Tree-aware filtering

Hierarchical Grid Behavior

  • Nested grid expansion
  • Independent columns per level
  • Per-level sorting and filtering
  • Separate data views

Performance and Scalability

Choosing between a React Tree Grid and Hierarchical Grid also affects performance.

  • Tree Grid: better for large, uniform datasets (10K+ rows)
  • Hierarchical Grid: heavier when many nested grids are expanded

Use:

  • Tree Grid for large recursive datasets
  • Hierarchical Grid for targeted drill-down scenarios

When to Use Each

Use a React Tree Grid when:

  • Data is recursive
  • Schema is consistent
  • You need one grid view

Use a React Hierarchical Grid when:

  • Data spans multiple entities
  • Each level needs different columns
  • Drill-down interaction is required

Decision Framework

  1. Is each level the same data type?
  2. If yes → use a React Tree Grid
  3. If no → do levels need different columns?
  4. If yes → use a React Hierarchical Grid

FAQ: React Tree Grid vs Hierarchical Grid

What is the difference between a Tree Grid and a Hierarchical Grid?

A React Tree Grid displays recursive data in one grid.
A React Hierarchical Grid displays related entities using nested grids.

Which is better for large datasets?

A Tree Grid is typically more efficient. A Hierarchical Grid is better for structured drill-down.

Can both be used in the same React app?

Yes. Many applications use both depending on the data view.

Final Takeaway

When comparing a React Tree Grid vs Hierarchical Grid, start with your data model.

  • Recursive structure → use a React Tree Grid
  • Multi-entity hierarchy → use a React Hierarchical Grid

Choosing correctly early prevents costly refactoring later.

Get the code for this sample – https://github.com/react-grids/igr-treegrid-hierarchical.

Learn more about React Data Grid, React Tree Grid and React Hierarchial Grid.

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