Why is Deduplication Essential for Cloud Storage?

cloud storage deduplication

cloud storage deduplication

Deduplication is an essential element to overcoming some cloud storage limitations, which includes the constantly growing number of duplicates and copies of data.

One of the most advertised features of cloud storage is its affordability – for one year, you can get a terabyte for an amount between $200 and $300. When it comes to corporations, they can get the same for a price between $2,000 and $4,000 per year, give or take.

It only takes simple math to understand that cloud storage is a viable option, barring the fact that multiple copies of data can begin to pile up. Without deduplication, you can be left with a surprisingly costly bill. Deduplication however, is not reserved exclusively for cloud storage; on premise storage can benefit from it as well.

If cloud storage wants to preserve its reputation as an (almost) infinitely reliable, scalable, and above all cheap option, deduplication is an absolute must. Consider these components associated with the cloud storage costs:

  • Primary data storage costs;
  • Costs related to copies, archive copies, and backups;
  • Data transfer costs;

Cloud apps are deployed and distributed as a standard on non-relational databases that are massively scalable. There are some common objects, databases or blocks, such as Cassandra or MongoDB with an RF 3 (replication factor), which is required for ensuring the data integrity in distributed clusters. That’s the reason you have to begin with 3 copies in these cases. Additionally, secondary copies or backups are created with the help of snapshots. Unfortunately, the moment you create a snapshot, you end up with 3 copies of your data. That being said, if you turn your back on deduplication, there’s no way you can avoid some serious expenses.
Eventually, in order to be successful deduplication has to properly address these two crucial issues:

  • Deduplication has to operate not at the storage, but rather at the data layer. Simply put, if you want to deduplicate data associated with a distributed cluster, your software has to identify the underlying structure of data.
  • Deduplication has to ensure elimination of redundant data prior to data being written into the database. As soon as the data has been written, you can expect cluster replication and deduplication process to take place.




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