The difference between data redundancy and data replication lies in their purpose. Data redundancy involves storing duplicate copies of data to improve fault tolerance and availability, but it can lead to inconsistency. Data replication, on the other hand, keeps copies of data across different systems or locations synchronized, ensuring that all copies remain consistent and up-to-date.