Understanding Real-Time Data Replication and Its Need

As the need to access data frequently grows exponentially, one of the biggest challenges faced by organizations is high data availability. There is an urgent need to scale up systems to get robust and speedier access to data. Even though highly optimized data transfer and storage technologies have helped this cause, it is real-time data replication that has triggered an organized mechanism to maxixe data availability.


Defining Real-Time Data Replication

Real-time data replication is the process that synchronizes data across a source and a destination database as and when a change occurs in the data source. Most popular databases offer in-depth and robust support for replicating data in real-time. This allows users to generate numerous copies of complex datasets and store them in various locations thereby ensuring seamless access and high availability of data for individual systems and numerous servers.

The Need for Real-Time Data Replication

Given here are two instances that call for real-time data replication.

The first is disaster recovery and compliance. Most businesses today want several copies of their crucial business data to be located across various data nodes and replicas so that high data availability and accessibility in case of an unforeseen disaster or incident can be ensured. The data may be replicated across a similar kind of platform with minimal or no changes in the technology stack.

The next major use case for real-time data replication is online analytical data processing in real-time. Replicating data across numerous databases is required when organizations want to arrive at crucial and actionable insights to make data-driven decisions for their business without affecting the speed or performance of the primary database. 

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