If you’ve been following our blog for the last few months, you may have seen this primer on software-defined storage (SDS) and its applicability to hyperconverged and hyperscale architectures. It’s essential reading if you’re looking to get a handle on the differences between the two. However, when trying to choose a new storage system, sometimes it’s important to see the similarities and differences side by side. We’ve put together the following table that highlights each storage architecture and what to look for when purchasing your next storage solution.
In today’s diverse computing environments across companies of various sizes, both hyperconverged and hyperscale options can be useful. Companies that are modernizing their IT infrastructure with a goal of being more agile and “cloud-like” should investigate whether hyperscale, hyperconverged, or a mixture of both systems provides the right level of support for their storage needs.
At Hedvig, we support the deployment of our software-defined storage solution in both scenarios. This gives data center architects that have fluctuating application needs the ability to mix and match hyperconverged and hyperscale deployments with all systems working together under a single management system. Our goal is to ensure a high degree of flexibility for what you need now and for your future data requirements.
Interested in finding out more? Download our hyperconverged vs. hyperscale infographic that further explains the difference and provides a decision tree to determine which is best for you.