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Alteryx OverviewUNIXBusinessApplication

Alteryx is #1 ranked solution in top Predictive Analytics tools, top Data Science Platforms, and top Data Preparation Tools. IT Central Station users give Alteryx an average rating of 8 out of 10. Alteryx is most commonly compared to KNIME:Alteryx vs KNIME. Alteryx is popular among the large enterprise segment, accounting for 51% of users researching this solution on IT Central Station. The top industry researching this solution are professionals from a computer software company, accounting for 26% of all views.
What is Alteryx?

Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.

Alteryx Buyer's Guide

Download the Alteryx Buyer's Guide including reviews and more. Updated: December 2021

Alteryx Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen

Alteryx Video

Pricing Advice

What users are saying about Alteryx pricing:
  • "The pricing is $5000 per year per production license."
  • "We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
  • "Opt for the three year subscription. It is 20% less than the yearly one."
  • "ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
  • "It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).​"

Alteryx Reviews

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AmitJain
Deputy Manager at Keppel
Real User
Top 20
Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes

Pros and Cons

  • "This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
  • "The GUI interface functions but it could stand to be updated to a more modern look and feel."

What is our primary use case?

I am using the product for making machine learning models for particular uses that we have to focus on analytics.  

What is most valuable?

I didn't like the data analysis features at first, but they were actually quite good. The built-in machine-learning models that they have are quite extensive and useful. There are a few models that are normally not found in any other drag-and-drop interface platforms. For example, when I was using and testing other tools, I could not find vector autoregression models. I also could not find the rather complicated tentative models and other model types that I find very useful. Those are built-in to Alteryx as cubes. On top of that, the capability of writing Python commands and creating our own tools and our own models for machine learning make the solution customizable and quite interesting.  

What needs improvement?

There are a few ways the solution could be made better. The graphical user interface could be made more friendly. I mean from the GUI point of view, it is a little dated. But from a functionality point of view, I think even for people who do not know the coding part and who are more business users than programmers, they would not have a very hard time using  Alteryx for creating machine learning models. It is quite good and quite useful already without improvement to the GUI. It could just stand to be more modern-looking. 

I would like if they could make some type of free license for the product. Not a free full license but a limited edition or limited capability free version. The limited-time version is a little restrictive. A free, open-term desktop version like Power BI and Tableau and KNIME might help users more with discovery and utility.

For how long have I used the solution?

I've used this solution for about five or six months.  

What do I think about the stability of the solution?

We were using Alteryx from a development point of view. We did not use it to test it to its breakage point. So it handled our demands and was quite stable.  

The response time was quite good. Even running on a laptop, it was like using it on my desktop. The response is consistent, fast and stable.  

What do I think about the scalability of the solution?

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.  

How are customer service and technical support?

I did not contact the technical support at Alteryx directly. When we initially got the license, they had us talk to the local support here in Singapore. We went to them for a small issue to see what exactly the product can do and then we did not need any support from their support at all. We are quite adept with this solution and modeling. We called up the Alteryx local support to show us how to do that one thing but it was very easy. Once we saw it, we did not have additional reasons to contact them again.  

Which solution did I use previously and why did I switch?

Before Alteryx we tried of KNIME. The learning curve for KNIME is steeper than Alteryx. Alteryx is much more user-friendly than KNIME, at least from our experience on both products. Also, KNIME functionality is limited for the free version so it was harder to explore the full capabilities. When we tried the free license for Alteryx, we got the full use of the client license for 14 days and then we were able to get an extension to explore our testing of it for some time. But we did use KNIME before that for long enough to be familiar with the differences. My impression of Alteryx is that it is more user-friendly than KNIME and the built-in modeling in Alteryx is much better than KNIME.  

How was the initial setup?

The initial setup was very straightforward. I was able to install it and get it running up and running quickly and the process was very simple.  

When I started doing a machine-learning model in a project writing my own code, it took me in-all about three or four days to complete it. For my initial experimentation, I decided to replicate that model in Alteryx. As someone who understood models but did not know the program at all, it took me two hours or less than that to complete the test. Once you learn how to drag-and-drop things in the interface, it is very easy to start on development as long as you know what you want to do.  

What about the implementation team?

We did not use any help as far as an integrator, reseller or consultant. We did the deployment ourselves.  

What's my experience with pricing, setup cost, and licensing?

Our approximate cost as we understand from the company is that the total is $5,000 per user per year for the desktop production license. So, for us and the ten licenses we need, that means the production license would be around $50,000 per year. That might not be the exact number, but I think it is close enough to be correct. With that, there are not any additional costs. Probably you can pay for support and for training if you want something like a dedicated workshop. That might cost more as an add-on but there is no additional cost for using the tool itself.  

What other advice do I have?

I have a really good impression of Alteryx at this point in time. So I would suggest to people who are considering this type of solution to go ahead and try it. If you are looking for a self-service data analytics tool, Alteryx is a good solution. It does a good job of end-to-end integration as well as accessing data from multiple sources or email modes. Then you can push data out to Tableau and Power BI or tools like that if you need other capabilities. So, 'go ahead and try it' would be my recommendation.  

On a scale from one to ten where ten is the best and one it the worst, I would rate Alteryx as easily a solid eight. From my use case and considering the point that I'm not seeing and using everything, I can't give it more or less. But from our use case and what we have in our company, it is pretty good for several purposes.  

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Theresa McLaughlin
Senior Capacity Planner at a financial services firm with 10,001+ employees
Real User
Top 5Leaderboard
Efficient, with great automation capabilities but technical support is not as good as it once was

Pros and Cons

  • "Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
  • "What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."

What is our primary use case?

We were analyzing data trying to find anomalies with the servers and things that were going wrong. Normally in what we do, it can be a very manual process looking for that kind of stuff. Therefore, using this product, I created a workflow that went out and looked across all devices for problems that are happening, and managed to cut down the number of issues that were being created daily.

How has it helped my organization?

The amount of labor that it takes us to find issues is pretty high. When you put the automation in place, that frees up your time to concentrate on the advanced analytics. We recognized right away in that first year that the amount of FTEs that we would have to acquire to do that work was a significant amount of money. It just stepped us into automation of many things that we do. That frees us up to be able to do a more mature analysis, and not that day-to-day stuff that you we have to track.

Not everybody's budget allows for having a team of 20. We just don't have that. It's saving us a lot of money in FTEs.

What is most valuable?

Right away we knew this has a lot of value, even from the perspective of data manipulation and automation. 

There are all sorts of use cases that we could come up with. It does take a little bit of learning and figuring out how to work the tool, however, we've been really successful with it. I even went and presented at one of their conferences our use case. 

Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful. 

It not only helps us with efficiency. You can also flip the steps apart to make that data flow in various ways. 

Most tasks run in less than two minutes and provide us with what we need very quickly. I can wrap rules around the data to look for certain things or to notify people. 

The amount of manual labor that we're saving by writing those workflows is huge.

What needs improvement?

The solution does have a bit of a learning curve.

I initially managed the product completely. Then, when the user base grew, another group just took it over. What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown. When you get hundreds of users in there, trying to manage access to the product is a little tougher than Tableau.

For how long have I used the solution?

I've used the solution for maybe around five years or so.

What do I think about the stability of the solution?

The solution is quite stable. It's not as mature as Tableau in that stability area, however, it's pretty reliable. We don't have a lot of problems with it. Initially, we created a lot of cases as we didn't understand how to best manage the product. Now, very rarely do I open a case with support and have issues.

How are customer service and technical support?

They recently moved to a different support model. Initially, when we came to the product, the support was pretty good. Now, when we open cases, it seems not so good. They're asking customers to pay more money to get a higher level of support. Of course, due to the fact that we don't open that many cases, it's not important to us to get to that higher level. That said, the response time given and the attention to us is not as good as it was initially.

Which solution did I use previously and why did I switch?

When trying to pull large datasets into Tableau right away we realized that we had to do something different. Prior to Alteryx being available, I would use scripting to stage the data. I happened to notice an ad on LinkedIn for Alteryx, and I thought, "Wow, this is exactly what I need." I talked management into buying it. I was the first one in the company to start using the product.

What about the implementation team?

We used outside vendors to come in and help in certain parts of the implementation.

What's my experience with pricing, setup cost, and licensing?

It's more expensive than Tableau, for example.

There has been some scrutiny on the overall costs. We're trying to go to more open-source, with more products that don't cost so much. I have to continually work with folks on proving that the value of what we pay in licenses.

The solution has recently changed its support process and is now pressuring users to pay for a higher level of support services. That could potentially be an extra charge for some companies. 

What other advice do I have?

We are just customers and end-users.

I would advise other companies considering the solution that the training is important. They've been great working with us on free training for this, that, and the other. The company really does provide a lot of those resources. The community is very good. The knowledge base that's out there in the community is great. A company should just tap into that and any free training they can. It takes a little bit of time to get proficient at it, however, the payoff is there.

Overall, I would rate it at a seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Learn what your peers think about Alteryx. Get advice and tips from experienced pros sharing their opinions. Updated: December 2021.
554,676 professionals have used our research since 2012.
AS
Technology Sales & Cybersecurity Professional at a computer software company with 51-200 employees
MSP
Top 20
End-users can complete analysis projects without knowing the code but there should be both cloud and on-premises options

Pros and Cons

  • "The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
  • "There is currently no cloud solution and this would be valuable for many clients."

What is our primary use case?

The team uses Alteryx for many things because they code various algorithms to create different dashboards. These are used as solutions for various things from sales to customer experience to whatever else the customer needs. So there are many areas where the team is using the product. There is not one, but as of now, there are some 30 different use cases that we have.  

How has it helped my organization?

The ease-of-use has allowed our business users to directly create their own solutions without the use of additional development resources.  

What is most valuable?

I think the most valuable feature is the ease of use for my business scientists. They do not need to be experts in R and Python coding, and they can do their complete analysis projects without knowing the code. I think that one of the biggest reasons we are depending on Alteryx.  

What needs improvement?

I'm sure there is always development happening with the product, but I think there should be both cloud and on-premises options. We have not seen a cloud deployment and have not heard they will be making one available. I think if there is the cloud deployment available, it would definitely be more convenient for some users to engage with and use while lowering the implementation costs.  

Cloud deployment would be easier for us and our clients because a lot of services that we push to the clients are through the cloud only. It is expensive to buy additional licensing, and it is time and resource consuming to install onto our own hardware — which itself requires maintenance and administrative attention. On-premises can raise the cost of deployment over just using a cloud enrollment option.  

For how long have I used the solution?

We are one of the main solution providers in the region and we have been using this solution for almost two years.  

What do I think about the stability of the solution?

The solution is stable. We experience no bugs, glitches or crashes.  

What do I think about the scalability of the solution?

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.  

How are customer service and technical support?

We are sometimes in touch with Alteryx technical support. If I had to evaluate them, the waiting times are not long, the response, in general, is pretty good. So we are satisfied with their support work.  

How was the initial setup?

I would say the initial setup is straightforward. It takes the technical team just a few days to deploy this solution. It is deployed in days, not months or weeks.  

In terms of deployment, you only really need one person to complete it and that is good enough. You might use two technicians depending on the skill set, the scale of the deployment and the business areas the client focuses on. The maintenance is pretty cheap. The same people that do the deployment manage it for us.  

What about the implementation team?

We do not use an integrator, seller or consultant for the deployment as our team has training and they do these things.  

What's my experience with pricing, setup cost, and licensing?

We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees. The technical support is included as part of the fees that we pay.  

Which other solutions did I evaluate?

Before we choose Alteryx, we did weigh other options from different vendors. In fact, we still use other technologies. We cannot properly service client needs by just using Alteryx as the only solution we offer. Because client needs differ, we are using other products that we evaluated and determined were also serviceable technologies to deliver for client use.  

What other advice do I have?

Advice that I would give to people considering Alteryx as a solution depends on the real needs from business to business and in accord with what use cases they have. I think Alteryx definitely takes away the potential problem of having to have a lot of technical expertise. Any business user can use Alteryx to develop their business case and use the program's options much quicker without having the technical knowledge and programming know-how. It really depends on the skills and resources of the individuals in the company. They should use Alteryx if they want users to be able to walk through the process and deploy their own use cases without having a deeper technical knowledge and skills that other products may require.  

What we have learned from using the product is that it is definitely a great advantage for the business users to not need to have great technical skills and programming knowledge to complete their analysis. The business users can build their own analytical use case, visualize what they want to do more easily and quickly, and revise it without any dependencies on other staff and additional communications.  

On a scale from one to ten where one is the worst and ten is the best, I would rate this product as a seven-out-of-ten.  

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
MA
Data Analytics Engineer at a tech services company with 11-50 employees
MSP
Easy to set up with a good interface and straightforward scalability

Pros and Cons

  • "The scheduling feature for the automation is excellent."
  • "The technical support could have a little bit of improvement."

What is our primary use case?

Most of my use cases have been around just helping customers out, specifically in the financial sector. Within our company, I've been automating the reports, project reports, and using it mostly for the automation of weekly reports in our company.

What is most valuable?

The scheduling feature for the automation is excellent. The machine learning suite has been pretty useful in terms of building models. I've been exploring it for a while. The in-database tools are extremely useful as well.

The interfaces are perfect.

The solution is easy to set up.

The stability is quite good. 

We have found that the scalability is good and very easy to handle.

What needs improvement?

I still haven't had any issues with the Alteryx designer. I don't have anything to speak negatively of now, however, I'm sure there are some features that need improvement.

The technical support could have a little bit of improvement.

They should work to make the solution less expensive. 

The product needs some more tools for the image processing part. That would be pretty good. There's an image processing suite, however, it could use a little bit of improvement as well as the visualization aspect. 

They should maybe add some capabilities for more interactive dashboarding. That would be great.

For how long have I used the solution?

I've been using Alteryx for a while now. I'm still learning about it. I'm still exploring it, but I've been using it for a while.

I've been using it for a little bit over six months now.

What do I think about the stability of the solution?

The product has been pretty stable, however, we aren't heavily utilizing the solution. It's hard to pass a fair judgment on our part, as we don't have that many users and the utilization of the server and designer haven't been very heavy so far. That said, for us, it's been extremely stable.

What do I think about the scalability of the solution?

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.

How are customer service and support?

Technical support is okay and could be better. Sometimes, it takes about two to five days to hear an answer from the technical support team. That said, when they do reply, they're very helpful. The community is very helpful. However, due to the fact that there's such a wide range of issues that could be going on, you could get lost in trying to find a solution on the community.

Which solution did I use previously and why did I switch?

I have not personally used any different solution. 

How was the initial setup?

The initial setup is extremely straightforward.

It took about 30 minutes for the designer and the server overall to be deployed. It was easy and it's really fast. 

There isn't much maintenance needed. I handle all of the maintenance myself. 

What about the implementation team?

Everything was handled by the company in-house. We didn't need any help from consultants or integrators. 

What was our ROI?

While we have personally seen ROI so far, I wouldn't be the one to make that judgment as to how much. That's mostly due to the fact that I'm the data engineer. I don't have a look at the numbers. I just automate processes and help customers out. That said, customers are happy with their investment in this product overall. 

What's my experience with pricing, setup cost, and licensing?

Since we're partners, we get licenses. That said, from the feedback I hear, the price is a little bit more on the expensive side.

We do yearly subscriptions. There are machine learning suites that do come at an extra cost as well. 

What other advice do I have?

We are partners with Alteryx.

I'm using version 21, the latest version, which may be either 21.1.4 or 0.3.2.

I would advise potential new users to go through the community to learn. They should go through the learning path for the Alteryx solution for both the designer and the server. It's good to take it slowly. New users should be able to do this within a month or two. The solution is pretty straightforward to learn.

I'd rate the solution at an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Alberto Guisande
Director at Decision Science
Real User
Top 5Leaderboard
Speeds up the time to obtain business answers/insights on data

Pros and Cons

  • "Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
  • "Alteryx speeds up the time to obtain business answers/insights on data."
  • "It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
  • "Even when it already includes some AI models, this area could be improved."
  • "It would be great to create the final users' visualization within Alteryx."

What is our primary use case?

  • Data acquisition, accessing all types of data services no matter the format, vendor or platform, I can connect, read and process the data.
  • Data blending and descriptive, creating consolidated data sets, such as joins, unions, summarize, and all basic and advanced data manipulation tasks. 
  • Advanced analytics, like predictive and prescriptive analysis, which are very good tools. 
  • Preparation

It involves reading multiple data sources, in different formats, reshaping and blending them together to answer business questions. We generate models for predictions and optimization.

How has it helped my organization?

Alteryx speeds up the time to obtain business answers/insights on data. It can quickly process huge amounts of data. It allows you to have your business prepare their own data sets, and it can even be used by IT people. The speed of processing is impressive to get something in minutes that would normally take you a couple of days or weeks.

Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase. 

What is most valuable?

  • The codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No coder needed.
  • I did not find a data source that I could not connect to yet.
  • In/out, preparation, blending, parsing, and transformation tools are the fundamental ones to start analysis.
  • Spatial operations and analytics are super powerful for analysis which requires these types of models/operations. 

What needs improvement?

Even when it already includes some AI models, this area could be improved.

Another area which could be improved is the visualizations. It would be great to create the final users' visualization within Alteryx.

Finally, the UI does not reflects the amazing tool Alteryx is.

For how long have I used the solution?

Three to five years.

What do I think about the stability of the solution?

It is absolutely stable. It has not crashed. It takes seconds to process huge amounts of data without too many resources on the machine.

What do I think about the scalability of the solution?

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

How are customer service and technical support?

It is one of the most complete and great customer service that I experienced with a software company/ecosystem.

The customer support is fast, complete and proficient. The partner ecosystem is extensive, and all have a couple of very advanced resources to provide support.

Finally, Alteryx has an online community (Check it out at http://community.alteryx.com ), with a lot of people willing to help users.

Which solution did I use previously and why did I switch?

I used several ETL tools, but none had the scope of Alteryx nor the ability to perform the analysis itself.

How was the initial setup?

The initial setup was very straightforward using a wizard.

Next, Next, Next, OK process. Super easy, intuitive, and problem-free.

What about the implementation team?

Both vendor team and in-house. In all cases, it was a straightforward experience. The vendor was very proficient and Alteryx always had our backs.

What was our ROI?

ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less.

What's my experience with pricing, setup cost, and licensing?

Opt for the three year subscription. It is 20% less than the yearly one.

It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).

Which other solutions did I evaluate?

I evaluated Datawatch and QlikView

Datawatch: Performance was not great and it was not so straightforward to implement.

What other advice do I have?

Download the trial and test it. You will be amazed. It is the complete package for people who work with data.

Most important criteria when selecting a vendor: 

  • Provide a good product.
  • Have good support.
  • Needs a clear vision of the future with a very solid roadmap.
Disclosure: My company has a business relationship with this vendor other than being a customer: My company is an Alteryx Partner.
JaimeDiaz
Master Data Senior Business Process Manager at a tech services company with 10,001+ employees
Real User
Scales well with connection feature and good stability

Pros and Cons

  • "Technical support is very helpful."
  • "The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."

What is our primary use case?

The solution allows us to create some reports that my organization uses, that my team uses. We also move some data from one particular legacy ERP into a shared SQL server to mix information from defense applications into one repository for analytic purposes.

What is most valuable?

The connection feature is quite useful to our organization. We connect with other databases. We connect with Microsoft SQL databases or with Oracle databases, and we connect with SharePoint lists, and we can connect with Outlook email servers as well.

The stability is very good. It hasn't given us any issues.

The scalability has been great.

Technical support is very helpful.

What needs improvement?

Our IT team has a lot of restrictions. Therefore, we cannot extend all the functions and all the features that Alteryx has, unfortunately. That's due to the fact that the internal restrictions we have are from a security standpoint.

The desktop license is expensive.

The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well. For example, the column size, and items like that should be adjustable.

For how long have I used the solution?

I've been using the solution for a couple of years. It's been a while.

What do I think about the stability of the solution?

The solution has been stable so far. It doesn't crash and freeze. There are no bugs or glitches. It's good. The stability of the tool is perfect for us.

What do I think about the scalability of the solution?

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.

How are customer service and technical support?

I've not personally used technical support, however, we have a person on our team who is more of an expert on all of the features. Sometimes, if he has questions, he will contact them. We have a very quick response, from what I understand. So far, it's been a good experience and we are satisfied with their level of support.

What's my experience with pricing, setup cost, and licensing?

We have a few hundred office licenses so far.

I haven't compared the solution to other licenses and therefore cannot really specify if it's the most expensive option or not, or if the current pricing is unreasonable. This is the tool our company's IT team selected for us and we can use it if we need it. It's not something I chose. It's something my company provides as a tool from an ETL standpoint.

What other advice do I have?

We don't use all the functionalities due to the restrictions we have inside our network. So far, what we use is enough. We can't extend to use all the functions and all the capabilities the tools have. However, that is because of the unique internal restrictions we have.

We use the solution just as a reporting tool and consolidate information from different systems to create analytics, however, I know that Alteryx has far more extended capabilities than we have explored. We use it as a personal user tool. We don't use it as a company strategy to move databases from one side to another side and make consolidations. We use it on a very small scale.

I'd recommend the solution to others.

I'd rate the solution nine out of ten. We've been largely satisfied with the solution.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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RP
Director at a non-tech company with 11-50 employees
Real User
Stable and very fast with good scalability options

Pros and Cons

  • "The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor."
  • "The only area where the product lags is documentation and videos on the analytical app and the batch macro."

What is our primary use case?

Our clients buy the product license and then ask us to configure and set it up for them. We also provide training on product use and act as troubleshooters if customers have problems. The company has a 15-member team that provides training and consulting on multiple technologies.

We have clients who are from tax, audit, and automation. They also use Automation Anywhere and Robotic Process Automation Application.

There are three primary use cases for this product. 

Firstly, we have a case study that involved lot of buy and sell transactions in Dubai (real estate). We wanted to create a model that takes up all the data sets that are frequently upgraded, and then be able to extract a ballpark transaction value based on multiple parameters. A big task was to sanitize the data including how to handle incomplete data sets.

Secondly, it is used to automate reconciliation of tax related system entries. For example, or for tax reconciliation such as a client in India where there is something similar to VAT called GST, a requirement to reconcile different transactions and make sure both party's accounting books match.

Finally, there is a case where you have your own accounting software such as SAP and it has to talk to another software application, which is not SAP compatible so we use Alteryx.

What is most valuable?

There's no single feature I can think of that stands out as being the most valuable, but we've worked on multiple areas such as analytical apps, especially to connect with Facebook, LinkedIn, and multiple other online data APIs. We also use batch macros to automate and repeat steps many times over. These two features help us a lot. They are slightly more advanced, so it's not for a regular user, but these are the areas where people ask for assistance.

What needs improvement?

I think the only area where the product lags is documentation and videos on the analytical app and the batch macro. We have learned the hard way, but I see people struggling there. Secondly, the tools for data science are not as user-friendly as KNIME.

Additional features that could be included would be improved documentation, more user-friendly data science, and the pricing should be more competitive. 

For how long have I used the solution?

I've been working with the product for 1.5 years. My team has been working with it for 3+ years. 

What do I think about the stability of the solution?

The product is very stable and super fast, also five-star. In fact, the reason people use Alteryx is that it's fast. It's significantly more stable than the nearest competitor.

What do I think about the scalability of the solution?

Scalability is excellent, five-star. 

How are customer service and technical support?

Technical support is very forthcoming in helping people out.

Which solution did I use previously and why did I switch?

We use several solutions for our clients. The two main ones are Alteryx and KNIME. Probably 90% use Alteryx and 10% KNIME. 

How was the initial setup?

The initial setup is straightforward. 

What other advice do I have?

I would suggest that the decision to purchase the product should be based on a company's level of deployment. If it's for a process for a pharma company, which is a smaller enterprise. then I recommend starting with KNIME. As the data gets bigger, switch to Alteryx. 

I think they should have a student version just like Tableau does. Not all the tools, but the basic top 10 or 15 tools. The reason I suggest this is because there's a huge need for Alteryx users, but because of its 14-day trial period, a lot of students cannot get a handle on it so a scaled-down light version would be good.

I would rate this product an 9 out of 10. 

Disclosure: I am a real user, and this review is based on my own experience and opinions.
VH
Solutions Consultant at a tech services company with 1,001-5,000 employees
Consultant
Top 20
A complete solution with very good user experience and a nice user interface

Pros and Cons

  • "The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions."
  • "There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."

What is our primary use case?

We're using the solution primarily to clean up some of our customer CRM data and to integrate it with some of our Salesforce requirements.

What is most valuable?

The UX (user experience) is quite good on this solution. The UI (user interface) is also excellent.

The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions.

What needs improvement?

For the most part, the solution is very complete, and there isn't much missing.

The designer license lacks a few features that the server has.

There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high.

For how long have I used the solution?

I've been using the solution for just over a year at this point. It hasn't been too long.

What do I think about the stability of the solution?

The stability of the solution is very good. It's reliable. We have not experienced issues like bugs and glitches. It doesn't crash.

What do I think about the scalability of the solution?

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.

How are customer service and technical support?

The technical support has been very good. I'd rate it ten out of ten. We're quite satisfied with the level of service we've been provided. They are helpful.

Which solution did I use previously and why did I switch?

We did previously use R and Python solutions before we switched to Alteryx. They were okay, but a bit difficult to work with.

Alteryx is easier to set up and implement. It allowed us to also focus on different aspects of the business.

How was the initial setup?

The initial setup is simple. It's very straightforward. I wouldn't describe the implementation as complex.

Deployment takes about an hour if a user is installing the regular application.

The solution does not require maintenance.

What about the implementation team?

In terms of the installation, I had to request the process from IT. However, it was fairly simple. I did the initial implementation of the platform. That said, I did require the help of some of our data scientists. It was all in-house. We didn't require the help of an integrator or consultant.

What's my experience with pricing, setup cost, and licensing?

I don't have any idea how much the solution costs. I don't deal with that aspect of the solution. I do believe the pricing is publicly listed on their website.

What other advice do I have?

We're simply users of the solution. We don't have a professional relationship with Alteryx.

We're currently using the designer license, however, I'm not sure of the exact version I'm currently on right now. I believe it is the latest version.

There's a 14-day free trial for those organizations that would like to try the solution before they commit to anything.

I would recommend the solution, 100%. It basically has everything we need. While we don't have all the features on offer in our particular license, it does have everything we need, and if our needs change, we can always move up to the next tier.

I'd rate the solution nine out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.