The tool is scalable. I rate it an eight out of ten.

I don't think we've reached the limits of Alteryx yet. Our strategy is to push the envelope to see how far we can go, especially in terms of our advanced data analytics and using Alteryx to look for other types of anomalies or issues with our data.

We have around 20-plus active users doing transactional data analysis. We will likely increase the usage depending upon the use case and expansion of our global data sources.

I rate the solution's scalability four to five out of ten. 

The solution is scalable. To scale the solution you will have to add more hardware to the on-premise setup, such as CPUs and memory.

In terms of scalability, Alteryx is good, especially within our domain, where tax data is generally not excessive. It can handle a large number of transactions and data sets.

Although there are instances of large datasets, we have yet to encounter any issues with scalability. So, at least within our domain, scalability doesn't pose a concern.

Currently, there are 15 users who are continuously using Alteryx. We also have 3-4 developers, and I lead the tech team in our organization.

The scalability is fine. That said, the pricing model is not the cheapest. You have to be careful who will be using it. The pricing is the only hindrance to scaling. 

We have around 300 to 500 licenses. It's pretty mature in our organization. 

I'd rate it an eight out of ten in terms of scalability.

My company has more than 100 users. 

Alteryx is really scalable. It adds value and fits our business. More than 300 users are working with Alteryx in our organization in India. I do not have the exact figures, but 2000 users globally use the solution in our organization.

Alteryx is scalable. My teammates and everyone in my company have an enterprise account, so we are able to access it.

It is highly scalable for the vast majority of things you want to do. When it comes to extremely large data sets or very specific analytics that would be delivered at an extremely high scale, either really, really tremendous scale or tremendous volume may be problematic. However, those are only a small number of possible scenarios. As a result, it hasn't been a problem for us, but we've switched to another technology for those types of use cases.

The roles are extremely varied. We have over 100, and less than 200, but that will increase in the coming months.

We are currently at capacity in terms of licenses. So we're looking to go from the low triple digits to over 1000 in the next year, maybe a year and a half. I believe we will quadruple in the coming year.

I believe the solution to be scalable, although I cannot say for certain, owing to the price. It We are not talking about a corporate solution at the moment. While we wish to improve upon and escalate the solution, I believe it is too expensive for us to do so at the present time. 

While I cannot speak about the future with certainty, we do have plans to increase the usage. We are satisfied with what we have at present. My area currently consists of four licenses and we would like to improve on this, to have more users. For the moment, we don't have definite plans to buy another license, certainly not in 2022, although, perhaps, in 2023. I sure hope so. 

From my experience and from my point of view, the solution is quite scalable. We did not use it for the production system yet, but from my experience of using it on a laptop more recently, it runs with a few hundred thousand rows and columns without a problem.  

The other good side of the scalability is the number of connectors available for data sources. They have more than 200 connectors, which allows access to well more sources than anything I have needed.  

We have 200 to 250 people working with the product in my company.

We faced a few issues with scalability in the past when it was a desktop application. However, after we started to use the Alteryx Analytics Cloud, this application has been really stable in terms of scalability. Initially, we started the trial with 30 people. Now we have around 200 to 250 people who currently use Alteryx Cloud. It scales quite well for us now.

We had some issues with deployability and scalability because we had to develop on our own machines and then push the workflow into the cloud, which caused issues with updates that caused functionality misalignments. Ideally, you'd be able to develop and run production applications in the same environment or platform, i.e. the cloud.

There were no issues with scalability.

We have six users of the solution, including engineers and data scientists. I rate its scalability as a seven.

Alteryx is easy to scale. 

We have three people who are using this solution in our organization.

It is a scalable solution. We are two users who created a workflow using it. We use it once a month or two.

There are no scalability issues. It is enterprise ready, and can multiple your processing power.

The solution scales quite well. If a company needs to expand it, it should be able to do so easily.

We have three people using the solution in my organization. We plan to increase our usage, we only will have to purchase more licenses.

I rate the scalability of Alteryx a nine out of ten.

I have done a lot of work on Alteryx and deployed it on client servers, and Alteryx is a highly scalable solution in my opinion.

It is mostly used by the analytics team, which includes analyst associates and project leaders. The consulting team also uses it pretty often. We would like to increase its usage because it is a pretty good software to work with.

With respect to scalability, it is rather good at handling large data sets.

The solution can scale to some extent.

We have about 200 to 300 users on the solution currently.

I assume it would be scalable without any issues. Most of my work has been related to files without any databases or other connectors. 

We have more than 5,000 people using it. This is a free tool across our organization. So, everyone uses it in case they want.

We have found Alteryx scalable in our usage, when we increase users we will see how it can adjust.

We have approximately 100 people using this solution in my organization. The users are from different departments, such as financial analysts, data scientists, and data analysts. We are using the solution extensively and plan to keep using it.

Alteryx is scalable. If you use the server, you simply add to the specifications based on the size of the data.

For our purposes, the scalability is fine. But, I think that scaling it for a big enterprise would probably be an expensive endeavor.

The solution is scalable. However, based on the price, it can be pretty costly, and organizations tend to limit the availability of that software to its users.

We've found the scalability to be quite good. We are connected to big databases, small databases, medium databases, any kind of database. For us, it's great. 

In Latin America, there are about 30 to 40 people on the solution. In North America, probably a couple of hundred people are on the solution, and in Europe probably over 100. In Asia, there are probably around 50 more, and the India teams probably have a little more.

The scalability is very smooth. If a company needs to expand the service, they should be able to do so easily.

It's able to scale. We currently have a lot of users who use this solution.

It is a scalable solution because it works on multiple platforms. The petabyte of solutions they have been considering can be handled. 

I did not you encounter any scalability issues.

The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected. 

The solution is hard to scale in that it is pricey. You need to buy a server. You would need to have the correct sizing, and, if you don't, you would need to buy a bigger server, which is expensive. They don't have a way to grow the product progressively, in a progressive way.

Scalability is excellent, five-star. 

There's room for improvement with the scalability aspect, because the size of data always increases and it is not an optimal solution for processing large sets of data. For a smaller data size it works really well. Our developers work with Alteryx and we have close to 10 users. We don't have plans to extend usage. 

The tool is scalable. 

The scalability of Alteryx is good.

Alteryx is a scalable solution.

What I know of the solution it can scale very well.

The solution is totally scalable. Users can work with the data at all levels and determine if you want to scale it. You just have to choose the product model with the larger amount of data.

In terms of scalability, the server is quite scalable, however, the designer is not.

Since I only have one license to use the solution it is difficult to know about the potential scalability.

We can scale usage of the product as much as we want and we do that depending on the instructions that we have from the client. It is quite scalable in that regard.  

We have more than 50 users who are using this solution within our company. They are a mix of data scientists, administration and business users as well.  

Alteryx is used quite extensively in our organization and we are planning to increase the usage in the short term.  

I did not encounter any scalability issues, at all. As long as the server is set up, it can share the workload by the load balancer. It depends on how complex the problems you want to solve are or how many people you want to access them simultaneously.

We are currently using it in environments with fairly low operational needs. For our clients, it is more of an analytics workflow rather than a production workflow. The scalability requirement has not really come up for us in practice.

No scalability issues, if it is accompanied with centralization or the organization has a strong top-down culture.

Only a small number of people use the solution in our organization. There are about four people on it. They are a mix of engineers, architects, and some data integration specialists.

There is a possibility to scale the solution. For the designer license, it's quite possible. Another server may be required, however.

The scalability is extremely easy and very straightforward on Alteryx, especially the server for the controllers. You can easily start adding nodes for workers as well. The scalability is one of the things that get our customers mostly excited about how easy it is to start scaling the server.

In our organization, we have four Alteryx designer users and eight or nine server users.

It is easy to scale.

This is a very scalable solution. For every organization or company, there are a few data scientists working with Alteryx. For some of the enterprise, they have a team of five working with this solution, whereas others have two.

I did not encounter any scalability issues.

I haven't found any scalability limitations. 

It is scalable. We currently have all of our almost 20 employees using Alteryx with plans to expand.

This solution is scalable.

We have ten users in our company, who are engineers and business analysts.

Alteryx is both scalable and stable.

Not really.