> For the complete documentation index, see [llms.txt](https://docs.skyone.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skyone.cloud/english/skyone-studio/integrations/flows/tool-modules/data-balancer-module.md).
# Data Balancer Module
* [Definition](#definition)
* [Configuring the module](#configuring-the-data-balancer-module)
* [Use example](#use-example)
### **Definition**
The **"Data Balancer"** tool module, a standard component in Skyone Studio available for use in any flow, efficiently divides large datasets into smaller parts.
This module is ideal for scenarios where a destination API has data intake limitations, as the **Data Balancer** splits the original data, ensuring that each processed segment stays within the defined limits and prevents overload.
### **Configuring the Data Balancer Module**
The "**Data Balancer**" module is available under the **Tools** option when editing a flow. After clicking to add it, the configuration modal will be displayed.
{% hint style="info" %}
[Find out about the Module Header here](/english/skyone-studio/integrations/flows/module-header.md).
{% endhint %}
**Settings**
Select and fill in the following fields:
* **Type:** Choose between Array Items, Line or Character.
* **Quantity:** Enter the amount of data to be processed at a time.
* **Data to Balance:** Input the data manually or use an SMOP.
Additionally, there is a "**Test**" button and "**Input**" and "**Output**" tabs to monitor data entry and testing.
Data Balancer configuration screen
To finish configuring the module, click on "**Save**".
### Use example
The "**Data Balancer**" module requires another module to be connected to it. So, we built our flow as follows:
Example of a flow using the Data Balancer Module
Imagine a scenario where a store has many simultaneous sales. To avoid overloading the order processing system, we used the "**Data Balancer**" to send 2 orders at a time. The module was configured as follows:
Example of Data Balancer settings
After saving the configuration, we execute the flow. Notice that the logger shows the orders were sent according to the configuration, in batches of 2 orders at a time:
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