Splunk Enterprise Security's scalability and ability to handle large data volumes is great. Splunk can manage a lot of users and applications. I would rate the scalability a nine out of ten.

We are satisfied with the scalability of Splunk Enterprise Security. It can increase its capacity and functionality based on our demands.

We're a multinational and have Splunk in the UK and US. We have 2,000 employees, and 2,000 endpoints, at the employee level. We also have around 12,000 production endpoints and it runs across a multi-cloud hybrid that includes GCP and AWS. It also has a tiny on-prem footprint.

You can horizontally scale someone instantly. I've never been afraid we would exceed horizontal requirements. 

Its scalability is good.

If you use the cloud version you can scale as much as your licensing allows. It's easy to scale, upgrade, or add instances according to your needs. 

Splunk Enterprise Security is a scalable solution, but the scalability part impacts the solution's performance.

It is awesome. When we first purchased Splunk Cloud, our ingest rate was about one terabyte or one and a half terabyte. We moved from the ingest-based license to the workload-based license three or four years ago, and now, we ingest about 10 to 12 terabytes. It is handling that just fine as if nothing has changed.

Splunk Enterprise Security's ability to scale is good. I rate the scalability an eight out of ten.

The scalability of Splunk, particularly when implemented as an enterprise solution, is notable. While we work with a limited number of clients, typically five to six, they are spread across various locations, including the US and Pakistan. From a maintenance perspective, our operations are based in Pakistan. Our clientele predominantly consists of customers from Gulf countries, and we also extend our services to clients in the US.

Splunk Enterprise Security is scalable.

We have a total of 500 devices, and we ingest around 150 gigs a day.

The scalability is pretty easy. They recently enabled it to be able to go into a search head cluster. Previously, the only way to install this was on its own dedicated search and it could not be connected to a cluster. Over the last four or five years, they have been pushing harder and harder for clustering everything up for shared resources. Enterprise Security is one of the few apps where you were not allowed to do that. Having scalability with the search head cluster is nice, and it is one thing I am looking at implementing in the future.

Splunk Enterprise Security scales up pretty well. 

I know other folks in the higher ed. space that are running petabyte size instances with Splunk. So I would have to say it scales very well just from talking to the folks in my market silo.

The scalability is perfectly fine. It's very awesome compared to all the other tools, as easily we can integrate with the log forwarding modules and the collector management appliances or modules. That aspect won't be a problem. 

If you look at the SIEM as a market today, Splunk is expensive compared to other competitive products. I'm also into the SIEM evaluation in my current role. I've seen that there are many tools are coming up in the last one and half years. I have also seen many other mature tools that are available now. If you compare next-gen SIEM tools compared to the Splunk, it's expensive. Therefore, it's possible we may not use this in the future or expand on current usage.

Splunk has a reputation for being scalable. You can start small, and if your demand increases, you can scale your platform. Splunk does a good job. It allows customers to have scalability so that they can expand their capacity. I would rate it a ten out of ten in terms of scalability.

It is very highly scalable.

The solution cuts across countries. I'm not sure how many end-users we have.

The scalability is okay. It scales well even though you have to consider your licensing and storage.

We have no issues at all with scalability. The tool has high scalability and usability. The size of our environment is relatively large since it is an enterprise solution. We have around 5000 users and a franchise base.

Its scalability is easy. On-prem was very easy, and on the cloud, you have to learn and adapt a little bit, but scalability is perfect. 

I rate the product's scalability an eight out of ten.

Our organization has around 1,000-1,500 groups, and Splunk works fine for us. 

Splunk on the cloud is scalable, a 10 out of 10.

I would rate the stability of Splunk Enterprise Security nine out of ten.

Splunk Enterprise Security is scalable.

Splunk Enterprise Security is scalable.

The resilience of Splunk allows organizations to protect their data and resolve vulnerabilities quickly.

Scaling is easy if you have done it a couple of times. 

The environment I have has multiple servers. We might have around 100 servers. 

Sometimes, it takes time when we need additional information or something extra. However, the tool’s able to do it.

We can scale Splunk Enterprise Security horizontally or vertically. It isn't a problem. 

Splunk is a highly scalable product. 

I would rate the scalability a ten out of ten.

It's scalable for all environments. Splunk Cloud can be scaled to a small or medium company, depending on their inputs or log resources. Businesses at the high end of medium-sized, and large companies, can go with the on-prem solution.

Splunk Enterprise is highly scalable. 

The solution is highly scalable.

We have four people that use the solution and they were split between infrastructure and security.

We don't have a plan to increase usage as we're almost at capacity with our servers, for our purposes. I don't think we're going to scale it as we're using everything we can from anything we need. However, it's intensely used for security purposes.

The scalability of Splunk Enterprise Security is good. The solution is stable and performance-driven, making it well-suited for scalability.

Splunk Enterprise Security is scalable.

The solution is deployed to one location. It's deployed across the entire environment. 

The level of scalability depends on the license you have. You can expand or reduce it based on the environment. It does cost more money to scale, however.

I would rate scalability seven out of ten. 

Splunk Enterprise Security is scalable.

In the on-prem environment, it is scalable, but it requires work because you need to install indexes and forwarders. It requires more work from someone who is specialized in that domain, but in the cloud environment, it is super easy. It is very scalable. You can just grow as you need.

Splunk Enterprise Security can be easily scaled once it has been installed and deployed.

Cyber threat levels are increasing every day, especially during the pandemic when most employees needed remote access to their business services. As a result, many organizations experienced a surge in attacks and required a resilient SIEM and cybersecurity solution.

We can scale Splunk Enterprise Security up or down depending on our demands.

There are two types of users: the administrators and then the users where the logs are coming from. We have about ten to 15 administrators working directly with Splunk. Overall, there may be more than 1,000 end users we get logs from.

The solution is scalable. In terms of data, it's very flexible. 

Considering how much we have in place, I would assume that the solution’s scalability is pretty strong.

The scalability is exactly what we needed to make sure that we have observability at the global scale. For global operations, Splunk has great scaling features to make sure that it is able to handle the large volume of data that we handle.

I would rate the scalability an 8 out of 10. 

Splunk now offers SmartStore, which automatically scales storage capacity without sacrificing performance.

I rate Splunk Enterprise Security nine out of 10 for scalability.

I would rate its scalability capabilities ten out of ten.

Splunk Enterprise Security is scalable.

Splunk Enterprise Security's resilience is a valuable asset.

The ability to scale Splunk depends on your network. If it is big, you can add more resources easily. You can use a cluster and several servers. 

We have been able to scale as needed.

We have not had any issues. We also have not had any detriment, but it is hard to forecast based on where you are going from a business perspective, at least with the models and the account teams that I have been working with. There is room to improve there. 

It seems pretty scalable, especially considering how much data we ingest. It is a good tool.

It seems pretty scalable. Our network isn't extremely large, so I don't think scalability will be an issue in our case, but I definitely see the opportunity to scale if needed.

We have around 8,000 devices, so it's a fairly small network. It's across several different networks.

Scalability is excellent. If you need to add more capacity, you can add more indexes, and more search heads as you need. The environment stays stable as you're doing it if you do it the right way. 

My environment is about nine indexes, four search heads, and about 800 GBs a day.

We are only on-prem so we do manual scaling. We don't have the elasticity that we would have in the cloud which limited us. Justifiably, in order to scale up the platform, we would have to go through procurements and more hardware, which was not an option. So we were limited, and we knew that. We had done pilots and buildout but a hardware refresh cycle was coming up, we had to justify whether or not it was in the cards.

I'm not sure about scalability but to my thinking, it's not very scalable. I know that it's probably expensive because it relies a lot on importing log files from all of the systems. One of the issues with respect to scalability is that there's never enough storage. Also, the more storage you have, the more systems you need to manage all the log files.

Splunk is open for all of the users in the company. We might have 1,000 IT personnel that could access it, although I'm not sure how many people actually use it. I estimate that there are perhaps 200 active users.

Its scalability is excellent. Its users are mostly on the backside. I know there are a lot of opportunities to allow developers and engineers to access Splunk for doing different things, but we use it purely for information assurance and system monitoring. So, our engineers and IA professionals are the only ones who access Splunk. We have a couple of them, but it supports thousands of users.

We started with Splunk Light, and now, we're using Splunk Enterprise across most of our projects. It is being used extensively. It is our primary SIEM product. I'm sure its usage will increase, but that's managed at a much higher level. The company has an agreement with Splunk on how our licensing model is established.

In terms of the cloud, scalability is very straightforward. It's just about as expansive as we want to go. When it comes to an on-premise deployment, there might be some scalability limitations. We've found we just have to cut hard on the resources as it does a lot of processing. Whereas the cloud is easy and has very little limitation, I'd advise others that on-premise may have some difficulties. 

On-premises, it's definitely on the customer to ensure they have the right plates. If they're concerned and they need 100% scalability, it's best to be on the cloud.

The solution is mostly scalable. The ability to scale is related to storage. If you want to expand storage, it can be quite difficult. 

At this point, we do not have plans to increase our usage.

We can make it as scalable as we want. We can scale it horizontally as much as we want on our cluster.

The solution can be scaled up to any size of enterprise or agency. I have heard of Splunk installations of over 100 terabytes of licensing.

Its scalability seems pretty good. If you are working with a lot of information, it would be usable.

Its users would depend on the organization. Mostly network engineers, network analysts, and SOC analysts would be dealing with this. 

I would rate the scalability of the solution eight out of ten.

I would rate the resilience an eight out of ten.

The solution is used across multiple departments, not locations. That said, it would support multiple locations. 

We've had no issues with scalability. We usually have a solution that lasts three to five years and have had no issues scaling in that time.

The solution's scalability is good. When we started, we had two servers and two indexers. By the time I left, it was up to 11 or more. It's not very hard to add additional components.

Splunk is a scalable solution. I am also impressed with the integrity of the solution. It is very good at collecting logs.

The scalability of Splunk is good. Customers can purchase 100 GB now and if they wanted more, they can immediately add an additional 100. The customer will have to only pay for additional licenses.

Splunk allows one to easily scale up this platform. One can add more interfaces to that platform if he gets more data. 

It provides good scalability capabilities.

This solution is quite scalable.

In our organization, we have 10 users, who use this solution but we have plans to increase our usage.

Scalability is good. It's scalable enough. You can play around with this tool. Scalability is one of the main criteria we look for when considering solutions. 

It is pretty scalability, even though we have a lot of logs. It runs well.

It is very scalable.

The solution is easy to scale, to add on and to integrate with other solutions. I am familiar with app integrations. Many solutions can be integrated with Splunk Cloud, such as CrowdStrike or Symantec. 

It scales out horizontally.

Splunk Enterprise Security was able to meet our scalability needs.

The solution does not lack scalability. 

We do not plan to increase usage at this time.

There are no issues at all in terms of scalability, since this is a cloud-based solution. There are around 25 to 30 users in my company accessing Splunk. 

It seems to have worked out great. We haven't had any problems yet.

The solution scales very well.

Splunk is a very scalable solution. Being a Japanese product, they will ensure that all of the features work in any environment. It is very heterogeneous. It can integrate with Windows, Linux, AIX, HP-UX, and Solaris. It also supports IoT devices, mobile phones, and more.

We have more than 150,000 people using our services.

The solution is scalable. This is especially true for the cloud deployment model. There really isn't anything holding you back if you use that version.

We have around 100 people on the solution currently. 60 to 70 of those are technical users.

We do plan to keep using Splunk. 

The scalability is good. If you have the money, you can expand — it's volume-based, not instance-based. 

We did not encounter any issues with scalability. It is almost seamless to add new index (storage) or search (used to analyze the data) nodes to the cluster.

None.

The scalability is great. I'd give it a score of four out of five. If a company needs to expand, it can do so. 

We have 450 people in our organization that use the product. We've also done this for clients that needed access for over 200,000 people.

We use the solution extensively and likely will increase usage.

We have not had any problems with respect to scalability.

For our use cases, we have not required any scaling.

We did encounter scalability issues. As we scaled out in search heads, we found that some of our activity could only be found on the search heads that it was originally done on. For example, the history of search runs are stored locally, so I needed to logon to each search head to try and find it.

As of now, no scalability issues were experienced. Splunk is highly scalable, so don’t anticipate that. However, scaling can get very expensive with their pricing model.

Splunk is a data analytics platform and is designed to scale easily. Adding or removing machines from a splunk index can be done without affecting any of the existing members of the infrastructure.

There were no issues with scalability, but we invested some serious time and resources to design a scalable infrastructure up front.

Its scalability is very good. Companies nowadays are totally dependent on tools like Splunk. It is widely used in our organization. We have a huge team that uses it on a daily basis. For onboarding, we have another team, and we also have a team for Splunk monitoring. We have a large amount of data ingestion per day, so our team has more than 25 people in it.

Splunk is definitely scalable.

Scalability could be improved.

Our environment is on-premise, and it is big. We have a couple hundred users. However, it was slow and unavailable at times before we trained all the engineers on how not write a long, constantly polling query.

No scalability issues.

The scalability of the solution is great. If a company needs to expand it, it can do so. It's not a problem.

We have about nine customers that are using Splunk.

It is as scalable as you can afford. We have a pretty small user base of 75 users, and it is mostly data center administration staff, application administrators, and security people. It is more of an in-house solution than a customer-facing solution.

Our usage is moderate. We're okay right now. We primarily use it as a SIEM and log aggregator. We could use it for other things, but the cost is what is preventing us from that at this point.

The solution is scalable. If a company needs to expand it, it can do so.

We do not require much scalability here because the clients are not so big; however, the hardware where we installed the products was enough to handle all the transactions of Splunk.

On cloud, we absolutely like it. Splunk AMIs make it easy for us to spin up a Splunk cluster or add a new node to it. For our rapid development and scale of deployments in terms of microservices and the number of microservices that we run, we have had no problems here.

On-premise requires a lot of planning, which happens on a yearly basis. We have Splunk dedicated staff onsite for on-premise to help us through this. 

We have 450 people making use of Splunk in our organization, and there was a bit of knowledge transfer needed on how to write a Splunk query. So, there is a bit of a learning curve. Once you get over it, it is fairly simple to use. We also have ready-made Splunk queries to help people get started.

No scalability issues.

There are no scalability issues. If you are planning on using Splunk for security use cases, I would recommend you go with Linux for your OS.

Splunk is quite good if you want to scale it.

We have about five to ten partners that use Splunk.

The scalability is good.

We have approximately 50 users using this solution in my organization.

We've never had an issue with scalability. If a company needs to scale, it can.

The danger of Splunk is that it can get too big too quickly and you have to be very careful with what you want to be monitoring due to the fact that if you monitor too much, you can slow down things and you can hurt your performance on your system. We have to be very careful of what we're logging.

We have about 12 users on the solution right now.

We do not plan to increase usage in the future.

It is very scalable. Currently, we have around 50 users. We will increase its usage if more people need access.

It scales fine. We haven't had any issues scaling it. Our current environment is about 30,000 devices. 

We have 17 people that are using the solution currently. 

It's very easy to scale the product if you need to.

Scalability is good with Splunk. 

It's a scalable product. it's pretty good.

It can be somewhat of a resource hog; some of the scans can take a while. We do plan to increase our usage in the future.

The scalability is decent. We have implemented it in our production environment, and it scales.

Not really.

There were no issues with scalability.

I would rate the scalability a six out of ten.

Splunk can be scaled to any environment. The way it's designed, it's cloud-ready, and it has a lot of performance, in-built indexing, and performance tuning options. Splunk is easily scalable.

Slunk scale very well.

We have approximately 50 people in our infrastructure and applications teams using this solution in my organization.

We plan to increase usage in the future.

We only ever have issues when deployed on VMs and the VM admins do not do what we tell them to do which is EXCLUSIVELY RESERVE OUR RESOURCES.

The scalability of the solution is amazing because it can collect a lot of data and you can have your own structure to monitor this data.

We scaled up gradually from three processes up to five, and the performance is okay. So we used gentle scaling  but this also helped stability.

You can scale the solution, however, users need to be aware of the product increasing in cost as well.

When we were trying to implement an enterprise solution on-premise, we had scaling issues. It was very difficult to search the data retention beyond a few days. A lot of talent was given to the ability to go into AWS and scale with our need. We still had to do some administrative things to prevent consumers from trying to search all records for all time in very inefficient searches. This could sometimes bring our core system functionality to a halt, so we had to do some user administration in it.

Splunk is extremely scalable with the limit being the hardware in use.

This is a scalable solution. We can do the clustering of it for large applications. We have around 15 users for this product. 

No issues.

We ingest roughly 30GB/day. We have a small environment, but it provides big insights. 

Its scalability is very good. We work with this platform for our own services. We use Splunk extensively, and we also offer it to our clients. We plan to increase its usage.

Our company has three offices. We have offices in Spain, Columbia, and Mexico. We have around 100 people, and about 50 people are working with Splunk. They all are focused on cyber security. They are security engineers or security specialists.

It is very much scalable. I am acting as an admin, and we have more than a hundred users of this solution in our company. We use it on a regular basis. We currently don't have any plan to increase its usage.

It is scalable. We have five admins so far that we have in the solution. We have two as techs to develop the design on the world map of the solution, and we have the end users, so 80,000 users altogether. 

Splunk's scalability is good for an enterprise situation. It's scalable in all situations.

No scalability issues.

Really scalable solution. Could be split into soft/hard forwarders if needed and even completed in an HA setup.

One of the key benefits and differences with this software is that the customer can scale up as much as they need to. Our largest Splunk customer is using between three and four petabytes of data per day.

The scalability is good. It can be added on-demand in increments of one gigabyte or ten gigabytes. It's a per-gigabyte license, and you can add whatever you need at the time.

Our projects are sized per our current IT infrastructure.

Splunk is used by 10 of our customers.

The solution is scalable and it is a requirement of my company to have scalable solutions.

The solution is extremely scalable. We probably have about five or six users, so all our system administrators use it, they're the ones that implement it. Right now, just the CIO, the CTO, and there's a ISSM who has access. There are plans to add more people once we fully implement the Enterprise Security solution. We have admins responsible for maintenance.

The scalability is okay as far as I have seen and used it. We have dozens of different environment environments using the same Splunk instruments, and it has been able to scale.

We haven't had any issues with it.

From a nodes perspective, there have been no scalability issues.

The scalability of the solution is very good. If a company needs to expand, it can do so. It's easy.

In my experience, it has been scalable. We have five users using the solution in our company.

As I was using a test environment, I can't comment on scalability. It was just myself and a colleague who was using it as a test instance.

I have found Splunk to be scalable.

We have 15 members of our organization that use this solution.

It seems like it scales well. We have hundreds of production and development environments, and we are searching on all of them. Therefore, it seems like the scale is good. 

We have hundreds of production environments, and each production environment has ten to 20 host machines. Each production environment can manage tens of thousands of customers.

Maybe going to AWS and scaling it better would be more cost-effective for our company. However, I am not involved in those decisions.

The AWS scalability is pretty good. We currently have it running on three servers.

We had no scalability issues.

Scalability is always a question for this product.

The solution seems to be very adaptable, and if not, we'll figure it out what to do in the next couple of years when the program has developed more, and the general capabilities become apparent. 

It is a log parsing tool, so if you take any type of log, operational or financial or security logs, and you put it in there, hopefully, we will find out that a log is a log, and you just create your events and you get the output that you want. Therefore, I don't foresee an issue with scalability per se.

We didn’t have any scalability issues.

Its scalability is good.

Our customers are mostly enterprise-sized companies using this solution. 

We did not encounter any issues with scalability. Everything is normal with no bugs.

I'm not sure. I do not really throw a lot of data in it, but it has been authenticated very nicely. It manages indexes and all of these things very nicely. I have not been privy to any production systems where you have millions of lines of log coming in every second. It works very well for the data that I have. It should be able to handle a lot of data. That's the whole purpose of it, and that's why Splunk has become so popular. It is an enterprise monitoring tool, and a lot of customers have Splunk in their ecosystem.

It's extremely scalable. It's a very robust solution and certainly has the capability of handling far bigger data requirements than a lot of the other tools. Generally what ends up happening with me is that my clients tend, for the most part, to be mid-tier organizations where the cost of that solution would be accompanying requirements for people just becomes way too prohibitive. Especially considering the model that they use for costing, which is based on the volume of data. Of course, they're going to put everything including the Coke machine as the ability to collect data off of it, because of course the more they can put through the tool the more money they make.

It can be scaled quite easily in comparison to other products on the market.

No.

This is a scalable solution.

It is scalable. We have approximately 25 users.

The solution is scalable. 

No scalability issues.

There were no scalability issues.

There were no scalability issues.

There were no scalability issues. It was running on a VM over Hyper-V.

Its ability to scale nicely is one of Splunk's strengths. You just horizontally add another machine and you get your scalability.

We have not had scalability issues.

It's a little hard to scale on-prem. 

I think it's good, other than the ability to hold more than three months of data is lacking.