This solution is scalable depending on your need. The security department belongs to Splunk, so we have approximately 25 people using the system.

We have plans to increase usage soon.

Splunk User Behavior Analytics is a scalable solution.

Our customers are enterprise companies.

There is a question as to how to scale up, especially in the log management area. Customers have their own predefined retention period, which means storing the logs for a long time. It's usually a minimum of six months or in some cases, up to one year. So the scalability has a little bit a limitation or restriction in storage components.

The solution is scalable. 

It's very scalable. We have it on servers, around 19000 servers, 81000 desktops. We have it on a lot of security devices, so it's been very scalable.

The scalability is pretty good. A company that wants to expand it out shouldn't have an issue doing so.

There's a handful of people on it at my organization. We have maybe ten users on it in total. They are mostly admins and engineers. We do have plans to continue to use the solution.

The solution is definitely scalable, because we currently have 1000 users in our company and we plan to increase.

It's scalable.

It is a scalable product. It can expand with ease. 

The solution is extremely scalable. Our customers are regularly scaling up after installing Splunk.

It is a scalable solution and can support many users. The scalability is another powerful feature of this solution.

We have around ten users using this solution in our company. We also provide this solution to our subsidiary companies so there are more than twenty users.

Scalability is excellent on all Splunk products that I've dealt with.

It is pretty scalable.

The scalability of UBA is very useful and helpful but in our country, there is no such need. The customers need UBA as latent data storage. They don't know the efficiency and the usefulness of the app but I think in the near future it will have a better use.

It could be easier to scale the solution if you are using it on-premise, not in the cloud.