Now that we are on the cloud-based version, scalability is limited only by what we want to spend. The more events per second we add, the more the cost goes up. But that's the same with any model, anywhere. We're limited only in budget. They appear to be scalable to handle anything we can put into it.

Overall, it is scalable, but when you are investigating a lot and you have a lot of tabs open and are involved in big work, it sometimes becomes slow or gets stuck.

In terms of its users, our SOC team has three engineers, and I am the fourth one. We have three clients for now for Securonix. We use it internally to monitor our company. Overall, there are five or six users using the interface, investigating, and reporting to the clients.

The solution is scalable. It is the size of the organization that determines the number of users. It could be 10,000 or 20,000 users if it's a large organization. Sometimes, we see up to 30,000 users in a large corporation across multiple geographies. It all depends on the size of the company. Anything above 10,000 users is the standard size that we get with Securonix. I rate the scalability an eight out of ten.

It is 100% cloud. So, its scalability is pretty nice. We have all the capabilities and options to grow. Our environment has more or less four locations with about 1,000 devices. We don't have any plans to increase its usage in the near future.

The company that I was working with was midsize. We didn't have a huge amount of data. We were accommodated pretty well. We didn't have any thresholds or limits, but I cannot speak for companies that have a huge amount of data. 

Their archiving and deletion policies also worked well for us. We didn't see any performance issues when the solution was ingesting all log sources. Its scalability was pretty nice. We started with six to seven data sources, and then we moved on to add a few more. It could easily accommodate any increase in the number of users or data. We didn't have to just stop at a particular point.

With on-prem, customers have control over the infrastructure, and they can tweak it, but a cloud solution is more simplified. You don't have the headache and overhead of maintaining your resources. So, it is definitely scalable. They partition you based on how big the company is. So, even if you move to a bigger scale, more resources get added to make it work better. It is seamless. We didn't have many issues. We had a few slowness issues at times, but they were resolved. We didn't have to deal with them for a long period of time.

Scalability-wise, it's great. I had some doubts when we started because they're using Solar and I heard some colleagues say that Solar would not be so scalable. But I was amazed at how they architected it. The scalability has been pretty good. We looked at a bunch of solutions, including Splunk. The search speed is pretty fast. We are able to search for data much faster than we were able to when we looked at Splunk Cloud.

The elasticity part is very helpful. If we give them a huge peak in EPS once in a while, or if our EPS drops down, it elastically grows very quickly, without any downtime or any issues. When our EPS increases the solution does not drop any data.

My team has raved about how well we are doing with searching and threat-hunting on it.

The solution is highly scalable since it operates in a public cloud environment. This allows us to store and process a large amount of information as needed. The scalability is one of the remarkable qualities of this product, which makes it very effective, especially when we are dealing with substantial data volumes in the cloud.

I rate the solution’s scalability a seven out of ten.

Scaling is flexible. If we fall short in terms of EPS, we would simply increase the EPS. And if the RIN server has low resources, as it is a virtual machine we could increase the resources according to the data quantity.

It is an excellent option for the cloud in terms of scalability. It is flexible for both us and our clients. We have plans to increase usage for certain customers.

Securonix is scalable.

It's definitely scalable and fulfills my needs.

It is scalable. We have 1,500 active users. We are operating in the US at three locations.

In terms of the integration of the data sources or the log sources with the Securonix tool, if the connectors are available, we never see any difficulty. I have integrated more than 50 log sources with Securonix. However, if they don't have a connector, we won't have any option for integration. This is common to all the SIEM tools. It isn't something that's specific to this. In any of the SIEM tools, if the connector isn't available, you won't have any option to integrate.

The solution is easy to scale up.

My customers who use the solution are enterprise-sized businesses.

It's certainly extremely scalable. They have a lot of connectors into different data sources. We haven't identified a data it seems we wouldn't be able to read in.

We certainly have plans to increase usage. We started this as more of a pilot with engineering data access on these two systems. Currently, on our homegrown system, there are about 20,000 users a month. On the commercial system, which houses a lot of the engineering model data, there about 13,000 users. That's the number of people whose activities we're looking at. That's internal, customer employees, as well as contract-contingent workers, onsite and offsite.

It is scalable.

At the moment, we don't have enough records to scale, but based on the infrastructure and from what I have seen, Securonix is very practical and it is possible to increase its capacity.

Securonix carried out an analysis of our entire infrastructure. It provides us with the level of processing required and, if you are planning to take on new clients, you can always increase the EPS.

Being a cloud environment, it gives us unlimited scalability. When we have integrated larger sources we have not experienced any problems.

Scalability is pretty good. It does grow with our license. We work according to EPS. So, as our EPS pool grows, the solution will keep growing.

Cloud Scale is super scalable. You can scale Securonix pretty well. Even if you have too much data coming in, you can figure things out or put more resources on it. Securonix is pretty good at doing these things. For example, they have load balancers already in place, which automatically take care of these things.

There are 12 of us right now using the solution. I'm the senior engineer, and I have eight analysts who are using it. I have a senior manager who is also using it.

We haven't had any issues with scalability. We've been able to send more log sources to it and we haven't had any issues with them being able to handle the volume.

We have close to 6,000 employees. We have about 9,000 servers and workstations in total, and we're sending about 5,000 events per second.

We have plans to increase our use of Securonix. Right now we use a different vendor for SIEM, LogRhythm, and we use Securonix for UEBA. We're looking at potential options to consolidate to one platform.

We were able to increase it. It's scalable, but with some work on-prem; we're not cloud. But it is scalable. The issues were mostly from our environment: networking and support.

My team only is the only team that's using it and it's one hundred percent part of our daily functions. We have plans to increase usage, and extensively. We're about 50 percent of the way to where we want it to be.

My understanding is that it's scalable, but I don't get into that piece.

The good thing about being in a SaaS solution is that we are agnostic to the platform. We don't see the Hadoop platform at all, but it provides benefits in terms of scalability. If we are sending 10,000 events per second and I want to scale that to 15,000 events per second next year, I know the platform can scale. That means I don't have to come up with a different deployment or start from zero again. That is definitely a benefit. I don't have to worry about the complexity, but I get the benefit of it being able to scale.

The solution is scalable.