We have around 15 to 20 customers using this solution. I would rate the scalability a seven out of ten.

We have ten users in our organization.

We have more than 500 users, these are mostly end-users of our information systems. I rate the solution’s scalability an eight out of ten.

I rate the solution's scalability an eight out of ten. We have 300 users in our organization.

The scalability of HPE Hyper Converged is limited, and I'd rate it at five out of ten.

With HPE Hyper Converged, my company faces problems since we receive it as a hardware bundled product. It can be scaled up to sixteen nodes in a single cluster while we create a multiple cluster. On the basis of the best practices, sixteen nodes on a single cluster are good enough because we usually see heavy computation on a single node. I don't find any major issues if a user needs to go beyond sixteen nodes in a single cluster.

Around 700 to 800 people in my company use the solution.

It is a highly scalable solution. I would rate the scalability a nine out of ten.

If I talk about HPE Enterprise SimpliVity, the scalability is there because you can add on nodes. If you're talking about the Converged level, there could be a lot of improvements because if I do an upgrade on one node, I need to do that similarly on the second node, which increases costs.

The solution is scalable. We have more than 1,200 users for the product. 

Hyper Converged is scalable but there are some complications.  If we want to scale, we have to scale to the full capacity. We cannot go for granular upgrades. You can mention that we can upgrade, but for scalability, we need to add more notes. There is no granular options to upgrade the system.

Scalability is a question that we have. We only have four node units and we were wondering if it makes sense. Where's the inflection point here? Will we actually implement that in our data center? Do we want a standard composable system, or would we do a bunch of nodes? At this point, we have a bunch of SimpliVity nodes versus blades plus Nimble Storage.

That's a decision that we're going to be looking at in the next two years. I'm very interested to see testimonies of how it scales. I just came from the Red Bull presentation, and it looks like they had a similar amount of VMs and storage, and they moved everything to six nodes of SimpliVity. That's very encouraging.

We haven't scaled it, but that's one of the reasons why we chose it, because of the fact that it is scalable.

I would rate the scalability an eight out of ten. It is a scalable solution. 

Scaling the solution is simple. You simply need to add the resources, such as CPU or memory storage. It works like a cluster. If you have two nodes, then a third node can be added to the existing cluster.

We require scalability for accomplishing financial requirements in customer accounts, as well as for augmented media and resources. HPE Hyper Converged is very scalable.

I can expand the space on the disk simply. If the need for computational capacity increases, I can add a new server and increase the amount of RAM and CPU. 

I can increase the RAM and CPU allocations without disruption of business operations for the customers in just a few simple steps.

The scalability is good. Right now we are deploying our production environment and our plan is to do the same in the DR environment also. We plan on increasing usage in the future.

We've had to add virtual machines to fulfill different server needs. Other than that we haven't had to do much since we implemented last summer. Last July is when we went live with this solution. That would be the key thing that we've been able to do with it.

The scalability is fair. 

The solution is scalable.

In terms of scalability, a lot has been done so it's quite easy to add additional load. Since it is only a testing system, there is a relatively small number of people using the solution right now. Less than 10 people are using it.

The scalability of this tool is very good. You can basically add more storage and seamlessly expand the current storage that you have.

HPE Hyper Converged supports up to 60 nodes. It is scalable, but we have to use the HPE OneView solution and have it to pass through vCenter. This consumes 10 cores of CPUs, which compromises performance.

Dell EMC VxRail supports up to 32 nodes, but is more futuristic and easier to scale. If you want to scale up, you just plug the nodes, then the cluster will detect the new node and configure it.

It is very scalable. You can scale up from two nodes to almost infinite nodes.

It fulfills all my needs. All the things I need to scale everything up is possible with the solution. It depends of course on how many users have already used it. I have no plans to increase, but the solution allows for growth. I just don't actually use it today.

I believe the solution is scalable, but the license gets more expensive if you add more users. And then you also need more hardware from HP when you scale. You need the license from vSphere, from VMware, and then it costs a lot. That makes us wonder if it is really the best solution for us. I, therefore, think it is just too expensive to scale. 

I have not faced this as we have not scaled up yet. We might scale up as we are planning to implement SAP S/4HANA.

We haven't developed a scalability platform yet.

This solution is scalable.