What is Real-Time Data Replication and its Common Uses

The process of instantaneously copying data to one or more places as it is being generated is known as real-time data replication. However, there is always some time that elapses between the moment data is generated, and the moment it is copied. This time lag may be in sub-seconds, seconds, or even minutes and is generally referred to as data latency. Hence, strictly speaking, the concept of real-time data replication is a relative term.


Typical areas where real-time data replication is used

There is a wide range of use cases for real-time data replication. It is very useful for distributing data to other servers that are used for reporting or application processing. Additionally, real-time replication is optimized for feeding data warehouses, and synchronizing data with remote offices.

Another popular use case is feeding business intelligence applications that help analysts and business users to work with it. They get up-to-date information that is housed in the original system without impacting its performance. Real-time data replication is optimized for migrating data to a new data store and keeping those two systems in sync until testing and cutover are complete. In specific instances, data may be transformed into new formats as part of the replication process. 

One of the critical benefits of real-time data replication is to ensure the resilience of IT systems by transmitting changed data and system information to secondary servers. These then stand ready to assume the production role or to recover data in the event of an outage or problems with the primary server. Real-time data replication eliminates downtime and the threat of data loss in the event of hardware failure.

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