> ## Documentation Index
> Fetch the complete documentation index at: https://help.dingtalk.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Choosing Between Quick BI and YiDA

> Compare Quick BI and the YiDA Data Factory across data visualization, report building, and data processing and modeling to help developers and enterprise buyers pick the right data analytics tool for their business needs.

<Note>
  Both platforms cover many of the same capabilities, but the right choice depends on your specific business scenario. This guide compares Quick BI and the YiDA Data Factory to help you decide.
</Note>

## 1. Product Overview

### 1.1. Quick BI

Quick BI is a next-generation intelligent BI service platform built for cloud users. It delivers real-time online analytics on massive datasets, supports drag-and-drop operations, and offers rich visualizations to help you handle data analysis, business data exploration, and report building with ease.

Quick BI supports fully private deployment and meets enterprise needs for data mid-platform analytics and integrated data analysis. It is the only domestic BI product in China named to the Gartner ABI Magic Quadrant for four consecutive years.

### 1.2. YiDA's Cool Data Capabilities

**YiDA** is DingTalk's official low-code app development platform. It helps organizations build apps quickly, saving both money and time. YiDA fits a wide range of scenarios, including enterprise digital transformation, project management, marketing and customer management systems, and new retail supply chain management.

Quick BI and YiDA are both enterprise-grade digital productivity tools developed independently by Alibaba Group. Quick BI focuses more on data visualization, processing, and analysis, while YiDA focuses more on enterprise-grade low-code app development, covering forms, workflows, reports, work automation, and collaborative office.

Combining YiDA Dedicated with Quick BI covers the vast majority of data analysis and visualization work. This combination enables agile business innovation while also aggregating process data for analysis and turning metrics into visualizations.

As a digital productivity platform for organizations of all sizes, YiDA ships with a substantial set of cool data capabilities out of the box. For visualization, it provides reports and data dashboards (with a built-in DataV engine). For data processing, it provides the Data Factory, which offers independent capabilities for datasets, data sources, data preparation, and data services. Quick BI, by contrast, is a more specialized BI product. YiDA Dedicated has already completed Data Source integration with Quick BI, and the latest version of Quick BI can directly sync YiDA app data, workflow data, and platform data for personalized analysis.

## 2. Capability Comparison: Quick BI vs. YiDA

Both Quick BI and YiDA support report display, dashboard display, data preparation, and multi-table joins. The comparison below highlights the strengths and capability differences of the two products.

<table>
  <tr>
    <td />

    <td>Quick BI</td>
    <td>YiDA</td>
  </tr>

  <tr>
    <td>Private deployment</td>
    <td>Supported</td>
    <td>Not supported</td>
  </tr>

  <tr>
    <td>Data alert Notifications</td>
    <td>Data notifications and monitoring: existing notification capabilities</td>
    <td>Not available in reports; supported in portal data cards</td>
  </tr>

  <tr>
    <td>Template Gallery</td>
    <td>Nearly 100 industry report **Templates**</td>
    <td>No report templates</td>
  </tr>

  <tr>
    <td>Chart Components</td>
    <td>Richer set of premium **Chart Components**</td>
    <td>Common report chart components</td>
  </tr>

  <tr>
    <td>Complex data metrics</td>
    <td>Data metric modeling</td>
    <td>Not available</td>
  </tr>

  <tr>
    <td>Data volume</td>
    <td>**Real-time analysis at the million-record scale**</td>
    <td>Real-time analysis at the hundred-thousand-record scale</td>
  </tr>

  <tr>
    <td>Dashboards</td>
    <td>Built-in Quick BI dashboards</td>
    <td>Professional DataV dashboards</td>
  </tr>

  <tr rowSpan={4}>
    <td rowSpan={4}>Data preparation</td>
    <td>**Ten-million-record ETL data preparation**<br />**High-performance online data processing and analysis at massive scale**</td>
    <td>Million-record zero-code ETL</td>
  </tr>

  <tr>
    <td>Output to Data Source Tables</td>
    <td>Not available</td>
  </tr>

  <tr>
    <td>Supports [data profiling](https://help.aliyun.com/document_detail/451733.htm)</td>
    <td>Not available</td>
  </tr>

  <tr>
    <td>Richer set of field processing options (transpose, window functions, field splitting, field merging, group assignment, and more)</td>
    <td>Partially supported</td>
  </tr>

  <tr>
    <td>DingTalk Data Sources</td>
    <td>Not available</td>
    <td>Official DingTalk Data Sources such as OA Approval, Smart HR, and Employee Roster</td>
  </tr>

  <tr>
    <td>Other data capabilities</td>
    <td>Data services support producing service APIs from datasets</td>
    <td>Data services support simple metric processing</td>
  </tr>
</table>

## 3. Which One to Choose: Quick BI or YiDA?

**Choose YiDA for data visualization and analysis when:**

1. All your data resides in YiDA and you want to analyze, view, and manage it entirely within a single product. Pair YiDA's visualization capabilities with the YiDA Data Factory.

2. You need to connect to official DingTalk Data Sources. The YiDA Data Factory is recommended.

3. Your data volume is modest and your metric analysis is not complex. The YiDA Data Factory is a good fit.

**Choose Quick BI for data visualization and analysis when:**

1. You need private BI analysis. Combine private Quick BI with dedicated storage from YiDA Dedicated.

2. You have demanding requirements for data push and data alerts. Quick BI is recommended.

3. You need broad Data Source integration coverage. Quick BI supports virtually all types available in the industry.

4. Your analysis involves large data volumes (millions of records or more). **Quick BI** is recommended.

5. You need to run complex analyses and expose the results for further open use. Quick BI is recommended.