What is Change Tracking in Microsoft Dataverse?

Change Tracking in Microsoft Dataverse is a capability that allows applications and integrations to identify which records have been added, modified, or deleted since the last synchronization. Instead of retrieving the entire dataset every time, an external system can retrieve only the changes.

This is especially important when integrating Dataverse with data warehouses, Azure services, external applications, or reporting platforms. For example, if a table contains one million customer records but only 500 records changed today, change tracking can help the integration process focus on those changes rather than processing all one million records.

From an architecture perspective, this reduces network traffic, processing time, API consumption, and synchronization overhead. It is therefore an important concept when designing scalable Dataverse integrations and incremental data synchronization processes.