Which type of data replication allows for immediate updates to master data while scheduling updates to remote zones?

Asynchronous data replication is characterized by the ability to allow immediate updates to master data while scheduling updates to remote zones. In this model, data can be written to the primary location (master data) without waiting for those changes to be immediately reflected in the remote locations (replicas). This means that the primary system can continue operating and processing transactions without delay, while the updates to the secondary locations are handled separately based on a defined schedule or at a later time.

This type of replication is particularly useful in environments where latency is a concern, or where the network may not support constant real-time synchronized updates. It allows organizations to effectively manage their bandwidth and optimize performance by prioritizing immediate changes to critical data while still ensuring that the secondary locations are updated with the latest data, albeit after a short delay. This makes asynchronous replication a practical choice for many cloud and hybrid environments, where distance and network conditions can vary significantly.

In contrast, synchronous data replication requires that the primary and secondary systems be updated simultaneously, which can introduce delays, especially over long distances. Other methods like volume sync and mirroring have different operational characteristics that do not align with the need for immediate updates coupled with scheduled remote updates.