- 04 Aug 2022
- Updated on 04 Aug 2022
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In regards to cloud computing, “scalability” refers to the cloud’s ability to automatically process and grow to accommodate the ever-changing storage needs of today’s data-packed companies. For forward-thinking businesses, cloud computing has become an incredibly popular data storage solution because of its scalability. Organizations that are leveraging the cloud now have a much more streamlined way to store their data free from the massive investments and manual labor involved with older methods like LTO tape and NAS.
Big Scalability Solutions for Big Data Requirements
Wasabi was designed to make mass data storage as simple as possible, and it’s an exceptionally cost-efficient option when it comes to scalability. In fact, Wasabi reduces average TCO, accelerates time-to-value, and increases automation. In addition, Wasabi’s massive scalability for big data and the cloud makes it ideal for a wide variety of use cases, including web apps, archiving, backup, unstructured data, and much more.
SaaS is a software delivery-and-licensing model in which customers store and access data through the internet rather than through local computers. With SaaS, service providers host customer data in a cloud infrastructure at their own data centers, and customers can then access it and/or the software interface via a web browser or API.
Setting a New Precedent for Cloud-Based SaaS
With Wasabi’s hot cloud storage services falling under the SaaS umbrella, more and more organizations are beginning to reap the benefits of SaaS. Cloud-based SaaS storage models provide optimal ease-of-access to customers for a wide variety of business applications.
Rather than the traditional model of paying for software through a license that often includes upfront costs and ongoing support fees, organizations pay for SaaS applications through a monthly or yearly subscription fee. Pricing is customized based on unique data parameters, and customers can easily access their cloud-stored data through a web browser at any time.