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Hyperconverged Storage is an IT infrastructure model that uses a combination of server and storage virtualization. Learn more about its uses and benefits.
Hyperconverged storage uses software defined methodologies to virtualize data storage alongside compute and networking functions in a single system. Through virtualization, hyperconverged storage makes far more flexible pools of storage available compared to storage tethered to a specific piece of hardware, such as a networked attached storage device or disk/flash array. Decoupling the hardware from the software and storage lets hyperconverged storage scale readily and provide greater flexibility and functionality.
Hyperconverged storage abstracts storage and its controls from the underlying hardware. This is a different approach than direct attached storage (DAS), in which each computer device has its own storage drive, or networked storage approaches in which multiple devices access a central pool of storage in a storage area network (SAN) or in network attached storage (NAS).
The storage is packaged with compute and networking resources that operate independently of hardware, making it possible to scale incrementally. Businesses looking to implement hyperconverged storage have three options:
Hyperconverged storage is made up of several components, including a hypervisor to run the virtual machines, software-defined applications, and virtual networking tools. Everything can run on commodity hardware—x86 servers, for example—rather than needing more expensive proprietary arrays.
The key aspect to understand is that hyperconverged storage does not need separate boxes for storage, networking, and computing resources, nor do each of these components need to be packaged into a specific piece of hardware optimized for a specific application. Instead, a software layer overlaying everything virtualizes all storage and other resources so they can be shared by many users and devices.
This creates a pool of storage that might include a very large number of NAS devices, SAN arrays, and cloud assets managed as a single entity of tightly integrated components. A key component of hyperconverged storage is load balancing and software-defined networking applications that help to place storage in the best place to optimize performance and adhere to the needs of the enterprise.
With hyperconverged storage, there is no need to manage each hardware component separately. Storage is no longer tied to a disk array, a NAS filer, or the cloud, each with its own management systems and sometimes operating with completely different operating systems.
In a hyperconverged approach, storage is managed and administered at the hypervisor level. The hypervisor manages multiple pools of storage and treats them all as virtual resources within one pool, abstracting underlying hardware. Software-defined storage (SDS) is decoupled from the hardware by abstracting storage resources for greater flexibility, efficiency and scalability.
All storage resources can be integrated into a larger software-designed data center (SDDC) design, which adds automation to overall data center functions and brings more automation and flexibility to storage assets—as a result, application programming interfaces (APIs) can easily be tied into storage to integrate across a wider range of platforms and applications.
Hyperconverged storage offers a number of key advantages over traditional storage solutions.
Storage provisioning is far easier with hyperconverged storage, as there is no need to specify the exact physical location or device on which the storage is to be hosted. This enables storage administrators to adapt more easily to changing needs.
Storage managers used to be stuck with lots of manual labor when it came to provisioning storage. Hyperconverged systems simplify provisioning by letting the administrator specify the performance, capacity, and other parameters, and the storage resources are allocated automatically.
Remove hardware from the equation and storage costs drop markedly. Of course, some vendors offer hyperconverged solutions in their own preferred hardware, but those products are typically priced to compete. Expensive storage hardware is generally needed only when a certain box is optimized to run a specific application.
The advent of software defined storage and hyperconverged infrastructure has led to capabilities such as self-healing, greater levels of redundancy, and higher resiliency. This in turn results in less downtime.
Hyperconverged storage can be ramped up and down granularly. As more storage is needed, it can be added and removed equally rapidly when no longer needed. Organizations only pay for what they need.
When it comes to hyperconverged storage, there are a few drawbacks to consider.
Adopting hyperconverged storage often means being stuck within a specific vendor ecosystem. Not all vendors lock users into pre-defined hardware—if choice is an important consideration, it might be worth finding a vendor that offers a wide range of compatible solutions.
In general, hyperconverged solutions offer very good performance, but not for everything—some workloads, like high-performance computing (HPC) and generative artificial intelligence (AI) tasks, for example, might not get the performance they need from hyperconverged storage. There are hyperconverged solutions with software, storage, networking, compute, and memory all tailored to run a specific workload or application that achieve excellent performance, but those come at a cost.
Once you place all your data into a hyperconverged storage solution, it may be difficult moving it somewhere else. While there’s flexibility within that solution, there’s less when it comes to migration data to or from that box.
Hyperconverged storage solutions can scale quite high, but not high enough for some applications. Traditional storage has the ability to scale a SAN, for example, much higher than most hyperconverged approaches.
Hyperconverged storage makes life easier in a great many ways, but it also adds another layer—which can also add complexity. Those trained in traditional storage may need further training to master it.
Hyperconverged storage is a good fit for a number of applications. Here are some of the most common
Hyperconverged storage is growing in popularity, and works well in many applications. And in the grander scheme of things, IT infrastructure is becoming more and more virtualized. Storage has evolved from a labor intensive function of IT to something that is now becoming more of a general IT task. Hyperconverged storage makes scalable storage more accessible to a larger number of businesses without having to rely upon experienced storage teams.
Read Types of Enterprise Data Storage to learn more about the different ways businesses store, manage, and access the data that fuels their decision-making.
Enterprise Storage Forum offers practical information on data storage and protection from several different perspectives: hardware, software, on-premises services and cloud services. It also includes storage security and deep looks into various storage technologies, including object storage and modern parallel file systems. ESF is an ideal website for enterprise storage admins, CTOs and storage architects to reference in order to stay informed about the latest products, services and trends in the storage industry.
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