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Data replication is the process of copying data from one location to another. The technology helps an organization maintain up-to-date copies of its data in the event of a disaster. Replication can take place over a storage area network, local area network or local wide area network as well as to the cloud.

Qlik Replicate® is a leading enterprise database replication software package that allows users to accelerate database replication, big data-ingestion, and streaming data. Replicate works across a wide range of databases, data warehouses, and Hadoop, while also allowing for seamless cloud data replication.

Snapshot replication is the most common data replication strategy; it's also the simplest to use. Snapshot replication involves taking a snapshot of the source and replicating the data at the time of the snapshot in the replicas.

There are two core types of replication format, Statement Based Replication (SBR), which replicates entire SQL statements, and Row Based Replication (RBR), which replicates only the changed rows. You can also use a third variety, Mixed Based Replication (MBR).

Data Replication Methods Log-Based Incremental Replication. Key-Based Incremental Replication. Full Table Replication. Snapshot Replication. Transactional Replication. Merge Replication. Bidirectional Replication.

Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.

Data replication can either be synchronous or asynchronous: Synchronous replication: Any changes you make to the original data will simultaneously apply across all replicas in real time. Asynchronous replication: You make changes to the original data first and later apply it across the replicas in batches.

In a distributed system, when replication is set up between data nodes, there are typically three replication strategies - Synchronous, Asynchronous, and Semi-synchronous.