Data replication Page

Data Replication

Data replication is a technique used in distributed systems and database management to create and maintain multiple copies of data across different locations or nodes. The primary goal of data replication is to improve data availability, reliability, and fault tolerance by ensuring that data is accessible even in the event of failures or network partitions. In data replication, changes made to the data in one location are propagated or copied to other replicas in near real-time or periodically. This ensures that all replicas remain consistent and up-to-date, allowing clients to access data from the nearest or most available replica. Data replication can be synchronous or asynchronous, depending on the timing of data updates and the level of consistency required. Synchronous replication guarantees that changes are applied to all replicas before acknowledging a write operation, ensuring strong consistency but potentially introducing latency. Asynchronous replication allows changes to be propagated to replicas with some delay, providing better performance but potentially leading to eventual consistency. Data replication is widely used in distributed databases, cloud computing, content delivery networks (CDNs), and disaster recovery strategies to enhance data availability, reliability, and scalability. [https://en.wikipedia.org/wiki/Data_replication]