What Are the Methods of Data Replication?

What Are the Methods of Data Replication

Data replication is a process that creates copies of your data in several different locations. It improves data availability and enables all users to access the same information at any time.

Data is replicated using a number of different methods, each of which has its own benefits and challenges. Learn about each of these and find out how to best use them for your organization.

Transactional Replication

Transactional Replication

Data availability is critical to smooth business operations. However, hardware failures, cyberattacks and natural disasters often block or corrupt data.

To protect their data and make it available consistently, companies turn to data replication. This process creates multiple copies of the same data and stores them on different servers or sites.

In this way, they can access the data from any site. This is beneficial in several ways, including making data more accessible to users in case of system failures and enhancing backups, Sneak a peek at this website.

Another advantage of this approach is that it allows users to access data with less performance lag. This can be particularly useful for cloud applications that are slow to load and suffer from API limits and throttling.

There are several methods of data replication, but one of the most popular is transactional replication. This technique creates an initial copy of the publisher database and replicates it to the subscribers in real time.

Snapshot Replication

Snapshot replication synchronizes data chunks between the publisher and subscriber at a specific moment. This is the simplest type of replication and is ideal for initial synchronization, especially when changes to data are sparse.

However, it is important to consider the size of the complete data and the frequency over which changes to the data are made. If the dataset set being replicated is very large, snapshot replication will require a substantial amount of resource to create and apply the data chunks.

Snapshots can be either read-only or updateable. A read-only snapshot is an exact copy of the target master table data, whereas an updateable snapshot can be configured to replicate only partial or full tables.

Merge Replication

Merge replication synchronizes data between a publisher and subscribers in SQL Server. The method uses a merge agent that sits on both publisher and subscriber servers to synchronize all changes.

This type of replication is a good choice for client-server applications where you want to keep the latest version of your data on both publishers and subscribers. It also ensures that any changes made to the data are reflected at both ends.

For example, if you have a North American office and a Chinese office but your data is stored at both locations, data replication can put another replica closer to the Asian office for faster access.

Using data replication to store multiple copies of your data at different locations improves its safety and makes it easy to maintain. However, this method can be expensive as it requires more storage space and processors.

Log-Based Incremental Replication

Log-Based Incremental Replication is a unique method that relies on information found in the database’s log file. Data is replicated based on the changes in the log files, which are usually updated or deleted at regular intervals.

For databases that store their data on unique elements (keys), key-based incremental replication is a great choice. It scans the keys to check for changes and copies only those that have been marked.

Full table replication is another option and copies all the new, existing, and updated data from the source to the destination. This technique maximizes redundancy, increases global performance, and enhances data availability across the entire system.


In addition, it can help protect the data against disasters and ensure that data is available anywhere in the world. This makes it a perfect disaster management and recovery technique as it allows users to access the latest data even if the primary server fails. This makes it a great option for e-commerce and other applications that need to be accessible from multiple locations.