Organizations undergo major losses every time their technology fails. Not only is valuable data compromised, but also the company reputation. In order to protect oneself from the insecurities posed by technology, businesses opt for data resiliency and data protection solutions. Data resiliency is a part of a facilities disaster planning and disaster management considerations and is associated with data protection.
According to research conducted by Research on Global Markets, the global data resiliency market is forecasted to grow from USD 11.69 Bn in 2018 to USD 27.63 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 18.8%.
While both data resiliency and data protection relate to digitally preserve organizational assets in case of a data center corruption or natural disaster, their means of doing so differ.
Data Resiliency: Data resiliency means the data’s ability to spring back when it is compromised. In the cloud the data is stored in several locations, hence it is resilient. While no location is better the other, data resilience is improved by the sheer large number of places data is stored. In case the data in one location is down the user is directed to the next location. However, if all the locations go down the user no longer has access to the data.
Data Protection: Data protection goes beyond just simply storing the data in different locations to save the data. It ensures that the data is not corrupted, is available and is in compliance with all the requirements. Methods of ensuring data protection include backup, replication, and restoration. Protected data, unlike resilient data, can be restored and rebuilt even if the original data is lost forever. It is important for organizations to make no compromises whatsoever when it comes to customer information security.
According to research conducted by Research on Global Markets, the global data resiliency market is forecasted to grow from USD 11.69 Bn in 2018 to USD 27.63 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 18.8%.
While both data resiliency and data protection relate to digitally preserve organizational assets in case of a data center corruption or natural disaster, their means of doing so differ.
Data Resiliency: Data resiliency means the data’s ability to spring back when it is compromised. In the cloud the data is stored in several locations, hence it is resilient. While no location is better the other, data resilience is improved by the sheer large number of places data is stored. In case the data in one location is down the user is directed to the next location. However, if all the locations go down the user no longer has access to the data.
Data Protection: Data protection goes beyond just simply storing the data in different locations to save the data. It ensures that the data is not corrupted, is available and is in compliance with all the requirements. Methods of ensuring data protection include backup, replication, and restoration. Protected data, unlike resilient data, can be restored and rebuilt even if the original data is lost forever. It is important for organizations to make no compromises whatsoever when it comes to customer information security.
Geographically, North America held a global data resiliency market share of 36.5% in 2018 due to a large number of players in the region. The data resiliency market in the Asia Pacific is expected to expand at a CAGR of 20.5% until 2023 due to the increased use of data resiliency solutions across all industry verticals.
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