Data protection and redundancy technologies have existed for many decades. One of the most popular methods for data reliability is replication. The replication method involves storing the same data multiple times on different physical locations. This method proves to be good when it comes to performance and data reliability, but it increases the overall cost associated with a storage system. The TOC with a replication method is way too high.

This method requires double the amount of storage space to provide redundancy. For instance, if you are planning for a storage solution with 1 PB of data with a replication factor of one, you will require a 2 PB of physical storage to store 1 PB of replicated data. In this way, the replication cost per gigabyte of storage system increases significantly. You might ignore the storage cost for a small storage cluster, but imagine where the cost will hit if you build up a hyper-scale data storage solution based on replicated storage backend...