Alteryx Reviews

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.  

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

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.  

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.  

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

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

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.  

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.  

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.  

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

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.  

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.  

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.  

We primarily use the solution for basic data analysis and forecasting.

The giga size is very good. 

The solution offers excellent predicting power. The accuracy and confidence have been great.

You don't have to be tech-savvy or technical to use the solution. There's a lot of drag-and-drop functionality.

The visualization could be improved, as could the BID bots.

The solution could work on the BI side of the tool to make it a bit better.

I've been working with the solution for five or six months.

I've liked working with Alteryx so far.

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.

The technical support is very good.

I've worked with other solutions such as Knime, among others, however, in a corporate environment, I've only worked with Alteryx.

The initial setup is very straightforward. You just need to go through the manual. Reading it makes everything easy.

Each deployment is different. Some jobs seem easy, but then the back end is complex. Other times it can be deployed in practically one click. It all depends on the customer requirements.

We're Alteryx partners. We handle various deployment models, depending on the client's needs.

I've worked with other solutions such as Knime, among other tools for data science and data prep. It's great that this solution is just drag and drop and easy.

I'd recommend the solution. I'd rate it 9.5 out of ten.

My company uses Alteryx differently for each of our clients' individual cases.

It has helped across my organization.

Let's say we have a client that has been mostly using Excel for their data preparation, data casing, etc. By using Alteryx, they now spend most of their time in the data prep and then just go to reporting. It saves a lot of time.

I actually like all of their features. But the feature I have found most valuable is the data profiling. I can check the quality of my data and everything else. 

Alteryx is very good - I don't see any room for improvement. I can't think of any downside to Alteryx.

I use a lot of third-party tools with Alteryx. It would be great if Alteryx could take third party tools and incorporate them.

I have been working with Alteryx around two years.

In terms of stability, Alteryx is stable.

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

Their technical support is good.

The initial setup was straightforward. Depending on your machine it usually takes less than 20 minutes.

Alteryx is very good. You can do literately anything on Alteryx. Alteryx is so advanced. It's just drag and drop. You don't need to know any coding or other technical stuff to use Alteryx.

On a scale from 1 to 10, where 1 is the worst and 10 is the best, I would rate Alteryx a 10. No doubt, a 10.

We use this solution for self-service data preparation from data warehouses and data marts.

It gives the power back to the end-users. It brings flexibility and accuracy to our new analytics.

The most valuable feature of this solution is data preparation.

Alteryx Connect (data catalog) is also really important for us.

The event handling, such that the file system watcher, is in need of improvement.

Data blending and complex data manipulation and augmentation.

• Fast return on investment
• Increased data analytics productivity.

Workflows and a large number of tools were a quick QA methodology and rapid prototype creation tool.

More emphasis on extensible R and data augmentation interface design.

ETL.

Fast data processing and cleaning.

Crosstab and transpose.

Add inbuilt interactive visualization in Alteryx.

It collects data and manipulation and some Geo-spacial mapping.

It provides opportunities to do some pretty complex tasks easily, without having to worry about the Java. The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy.

I think better visualization would be helpful. In terms of data extraction, during the sequel queries of servers as an example, you can structure your sequel query and it's fine, very readable, but once you run it, it crashes into one complex single line, and makes it very difficult. Then you you almost have to go back to management studio, and run it through management studio and put it through restructuring, and it just seems to me that that's not very user friendly.

It is a very stable solution.

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

I would rate the tech support a 7.5 out of 10.  They do not necessarily provide lots of hands on support themselves, instead they farm it out to partners and forums. 

The learning curve for implementation was a bit steep. You pretty much have to teach yourself as you are setting up the solution. Once you do that, you are OK.

It is a little bit pricey. The desktop version is cheaper, it is on a one year license. And, if you want to do anything on an enterprise name it is quite expensive. The current pricing model may get to be too much in three to four years time.

We also considered DataBricks.

I would advise that you should ask yourself what you need and want, and do a one-month trial.

I implemented Alteryx for a logistics company. 

It helps clean messy data and provides spatial analysis.

We create workflows to automate central reporting and visualize data directly in Tableau. 

We use Alteryx everyday. Using the product, we earn a lot of time, which is used to do other tasks.

Multicategories exist in Alteryx: These categories are flexible and answer a lot of controlling rules.

• Alteryx could be improved in the area of analytics and central governance. 
• The next feature release should include easier reporting. 
• Improvement in the coexistence of In-Database, Python and R tools.