2 min read

Three Benefits of Backup as-a-Service (BaaS) for Managing Unstructured Data

By Catherine Chiang on March 27, 2019

Ah, managing backups: A necessary, but notoriously tedious task that most IT administrators would happily hand off to someone, anyone else. In today’s increasingly automated and machine-driven age, that someone else could be...software.

Due to the increasing management overhead of traditional backup solutions, many organizations are turning to Backup as-a-Service (BaaS). As the name implies, Backup-as-a-Service solutions offer an added layer of automated management services to simplify and optimize backup.

Here are three benefits of Backup as-a-Service for organizations with growing unstructured data.

1. Saves Your IT Department Time and Money

Taking into account the total cost of ownership (TCO), as-a-service solutions actually help organizations save significant time and money. Often with legacy backup solutions, organizations need full-time personnel just to manage backups, an expensive overhead cost that doesn’t provide the organization direct value through revenue growth or increased production. As IT budgets stagnant even during explosive data growth, dedicating valuable man hours to a task like backup that doesn’t drive value for the organization just doesn’t make sense economically.

With BaaS, the day-to-day maintenance, monitoring, and troubleshooting of the solution is taken care of by software, not personnel, so IT can focus their resources on projects that provide direct value to users and the business.

We can’t speak for all BaaS solutions, but Igneous customers have seen a reduction in man-hours by as much as 90%! That means that if an IT administrator used to spend 40 hours per week managing backups, they now spend only 4 hours managing backups with Igneous while our software takes care of the rest. Think of how many requests from your end users could be fulfilled, or major strategic projects could finally be green-lit with an extra 36 hours per IT admin.

2. Provides a Scalable Approach for Explosive Data Growth

Legacy backup solutions were not built for this age of explosive data growth, particularly when it comes to massive volumes of unstructured data. Once data grows beyond a threshold, typically between 100TB - 200TB , IT teams end up having to create silos, cobble together multiple solutions and vendors, and hire more personnel to manage the growing complexity of their backup systems.

Unfortunately, legacy backup solutions don’t scale linearly with your data growth; the necessary layering of multiple solutions and silos compounds the management overhead an organization needs to manage their backups.

BaaS solutions, on the other hand, are built to handle the scale of the enterprise. Because management overhead is taken care of by software, there’s no need to add headcount just to manage compounding backup solutions.

3. Lowers the Risk of Data Loss

Last but not least, BaaS solutions lower the risk of data loss—a benefit that, even on its own, is a compelling argument for implementing BaaS in your organization. By reducing management overhead, BaaS solutions reduce the exposure to human error and even the lowest level logistical errors such as jammed tape drives. The highly automated nature of BaaS is built to handle any potential scenarios through dedicated algorithms, teams, and troubleshooting.

In addition, a BaaS solution that allows integration with cloud, such as Igneous, allows the organization to take advantage of the reliability and built in redundancy of the big cloud providers, such as AWS, Microsoft Azure, and Google Cloud Platform.

Does Backup as-a-Service make sense for your organization? If your data is growing, and it’s unstructured—odds are that BaaS is a thoughtful choice to improve and future-proof your infrastructure while making your IT team a lot happier.

Want a real life success story about how BaaS transformed an organization? Read our customer testimonial from Altius Institute, a life sciences organization that uses Igneous DataProtect to manage their massive amounts of research-critical unstructured data.

read case study

Catherine Chiang

Written by Catherine Chiang

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