Before diving into an all out comparison between the two, it’s useful to define each method in order to further scrutinize how the two systems work together.
Data is your company’s lifeblood. From client and vendor information, to accounting functions, to inventory management, no matter what industry you serve, you collect a massive amount of data in the course of your operations. Every business function imaginable is cataloged on your company’s server. But what happens if that server becomes inoperable? Without some form of data backup the impact to your business could be deadly.
To safeguard your business-critical information, you need data redundancy, i.e. copies of your essential data that’s stored in multiple locations. Data backup is the practice of copying your existing dataset to another location for safety purposes. While there are many ways to go about backing up your data, at bare minimum your company should employ a second server that periodically makes a historical log of your primary server’s content. In reality, however, most companies backup their information to multiple locations like additional servers paired with a cloud-based copy.
Frequency is of the utmost importance when it comes to employing data backup. With a typical configuration, the secondary location(s) would record anywhere from once a day, to once every few hours. The configuration you choose will depend on key metrics including:
- Maximum Acceptable Outage (MAO)
- Recovery Point Objective (RPO)
- Recovery Time Objective (RTO)
Together these measurements paint a picture of your company’s risk tolerance as far as data loss and downtime are concerned. MAO refers to the greatest amount of time your business can afford a system outage. RTO is the time between the initial outage and system restoration. RPO refers to the amount of data or information that’s lost in the interim.