When organizations first come across the term ‘hyperscale’, they think they have to be huge in the marketplace to leverage the particular concept. But that’s not the fact. Hyperscale is not specifically suitable for the big market players. Rather than comparing the feature with size, define it by its approach. The subject can’t be learnt at one go. So let’s start with basic.

What is Hyperscale?

Hyperscale is a distributed set of computing that supports aggressively increasing volume of data by scaling with the growing workload. When your business data grows considerably, it effectively scales from multiple servers to thousands of servers. It is mainly associated with cloud servers and big data, where the score of data is extremely high.

Hyperscale is often confused with hyperconvergence, but the two terms are slightly different. Hyperconvergence is an integration of components offered as one single solution and it no longer remains distinct, whereas on the contrast, the resources of hyperscale remain separate and distinct.

Hyperscale for Storage

Data volume is increasing faster than anyone could have imagined. Hyperscale storage is the storage of large amount of data on a device that is capable of growing quickly and efficiently with the surging business.  It uses a software-defined approach to scale compute resources required for application and storage distinctly, as the focus is to promote high-degree automation with minimal direct human involvement.

Businesses don’t remain intact, they evolve and so does their needs. When the storage needs grow, companies can include servers running software-defined services to their storage tier to multiply capacity. Similarly, if compute needs increase, they can add hardware to expand CPU power.

Hyperscale further reduces expenditure and upkeeps the flexibility and scalability required to maintain pace with the developing business. The storage method is highly used in the internet world where data growth is beyond compare. Big business users are social media, data centers, weather forecasting, email hosting solutions, spam detection, analytics and many more.

However, most users choose hyperscale over hyperconvergence because they prefer flexibility to anything else.

So which is a better choice – Hyperscale or Hyperconvergence?

Where the market is so aggressive and business are standing at a competitive edge, both the techniques can be beneficial and efficient. Companies that aim to achieve agility and more cloud-like environment need to first determine which of the three methods – hyperscale, hyperconvergence or a mix-and-match – would work best for their business. Your business needs the right storage solution, so you need to settle with the right choice.

However, here is a simple plus effective rule that could help you out:

Hyperscale is choice for businesses with 5000 or more employees, 500+ TB data, and 500+ applications. Consider choosing hyperconvergence if you are below the addressed count, with fewer staff managing your environment or if you are in a remote office.

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