Alteryx Reviews

We are using Alteryx mostly for mission learning, forecasting, and predictive modeling use cases.

Alteryx has improved our organization because it provides an easy way to build machine learning models as well as to do citizen data science work.

The most valuable feature of Alteryx is the intelligence suite. 

Alteryx can improve the model management and deployment processing of large workloads.

In a future release, there should be more cloud integration with GCP. The ability to connect to GCP components as well as deploy things on the cloud would be beneficial.

I have been using Alteryx for approximately four years.

Alteryx is stable.

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 support is good.

I rate the support from Alteryx a four out of five.

I have not used other solutions in the same category in the company I work for.

The initial setup of Alteryx was straightforward. The full deployment took approximately three days to a week.

We did the implementation of Alteryx in-house. We have three to five people for the maintenance and deployment of the solution.

To my knowledge, we haven't quantified, the return on investment, but we have seen a return on investment.

My advice to others is that the solution has a lot of room for expansion and they should get going on a couple of use cases, even if they are small automation use cases, and then build from there. You can always build in machine learning and more sophisticated use cases as you go along.

I rate Alteryx an eight out of ten.

• Data integration
• Automation
• Data analytics

It saves time on a lot projects.

The analytics are easy.

In the database, it should be more functional and connect to more big data, especially using IPI.

One of the most valuable features to me is its ability to take millions of rows of data, blend them with more millions of rows of data, then output the data set to a Tableau Data Extract (*.tde), which I would then use to build a dashboard in Tableau.

Another of its most valuable features gives me the ability to pipe external data onto a server in a temporary table. This frees my 16GB machine up while the server does all the heavy lifting. Blending data this way is faster, as a simple blend of a couple of million rows can take a minute or two. Also, because Alteryx can output to a *.tde, we are able to use it hand-in-hand with Tableau Server to develop data access solutions for our users.

Non-computer-savvy business users used to require periodic and ad-hoc reports to spot trends or so they could work with our customers on spend allocation. Some of these reports took days or weeks to compile. Alteryx allowed us to access all the data, blend it, and output it as a dashboard for the user to access any time they needed it. It took the strain off the reporting team and it gave the user a simple interface from which to work.

The company is constantly pushing updates and making the product more user friendly and faster. Although I have about seven months’ experience using it, I don’t feel like I’ve even scratched the surface on its capabilities. I haven’t used its spatial, data investigation, predictive/predictive grouping, market basket analysis, time series, demographic analysis, behavior analysis, or macro-building features.

If there's one thing that I would like improved, it's the in-database tools to function the same way as outside-database tools. For instance, if there is data that is being blended outside database with a join, there are nodes that you can select so you can see the data that didn't get joined. As you can see with the purple join

I started using Alteryx in the beginning of January, 2016.

I did not you encounter any stability issues.

I did not you encounter any scalability issues.

I haven’t had to use technical support, as far as actually speaking to people, but I have used Alteryx Community to find solutions to some of the challenges I faced. Alteryx Community has a great selection of training videos and documentation, and its users are posting more and more, which offers other users solutions without having to reach out to Alteryx representatives.

I did not previously use a different solution.

The initial setup was straightforward. Another user in my department decided he wasn’t going to use Alteryx, so he transferred the license key to me. I downloaded the program and started using it.

It’s quite pricey for an Alteryx Designer license (~$5200 for a one-year subscription), but once you use the product, you won’t want to go back to whatever you were using before.

I did not evaluate other options.

Before you download the 14-day trial, compile a list of processes that you want to improve. Once you start improving processes, you won’t want the trial to run out.

Alteryx is typically used for data preparation and blending. I have clients who use it for Special Analytics as well as Churn Analytics.

Everything was manual and repetitive. With Alteryx, instead of spending three hours preparing the reports, it will only take them two minutes because everything is connected to the database.

The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system.

Alteryx has good prep and blend features, as well as the ability to connect to various sources.

My understanding is that they will include a visualization feature. 

All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required.

They could have better reporting. The aesthetic could be improved.

We have limitations on the number of fields. It doesn't really get everything if we have to add more columns.

I have been working with Alteryx for four years.

We are working with the latest version.

We're working on both the design and the server version on-premise.

So far Alteryx has been stable.

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

I have not contacted Technical Support. I have a team of Alteryx experts, so we don't rely on other support.

We are also working with the Designer Platforms for four years. It includes the Data Science features.

We were working with the most recent version.

I am familiar with many solutions.

The initial setup is fine. 

Prebuilt connectors are available, and you may need to create middleware, particularly for SharePoint. Most clients have it in either SharePoint or GoDrive which doesn't have a direct connector, we will have to create another one.

As long as you are connected to the source countryside, the tool itself doesn't require any special maintenance.

I have a lot of business use cases where the ROI is less than a year, and sometimes even in three months.

The designer version has a list price of $5,995 USD. The server version is even more expensive because it is only for collaboration. The designer license is needed to access the servers for collaboration, which in my opinion is expensive.

We were an Alteryx partner.

In terms of Alteryx, we resell the solution to our clients. I do have a team that handles the implementation. I specifically look for clients and see if there are any other excuse use cases that we can do with them.

Be aware of it, there are several versions, and there is a free trial that they can use. Once they understand how to do everything you're doing in the system, it's very simple to transfer it to Alteryx.

I would rate Alteryx an eight out of ten.

We have very similar use cases with Alyterx, Knime, and Trifecta. We are taking the data from disparate systems and transforming and making the data available for further visualization.

The most valuable feature of Alteryx is user-friendliness.

I have been using Alteryx for approximately one year.

If the speed of the database increases when we are performing the jobs on the Alteryx server it is not giving me a lot of visibility on how I can improve the performance of the jobs. Alteryx product is fine, but the server is somewhat weak. The only desirable feature we can use is scheduling.

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. 

I would rate the technical support of Alteryx a six out of ten.

Recently the support has been facing attrition problems and we are experiencing a lot of wait time. I do not like the premium support service. We did not subscribe to the premium support because it would have increased the cost on our side.

I have used Knime and Trifecta previously.

The initial setup of Alteryx is straightforward. However, when we are setting it up for an enterprise it gives too much leeway for an end-user. For example, the license location, activation, and license management are not good. When we want to have some control over who is using the license, who is not using the license, there are some issues, we already informed Alteryx about it. We need better control over the whole process.

The cost of the solution could be reduced.

I rate Alteryx an eight out of ten.

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.

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.

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. 

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

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.

Scalability is excellent, five-star. 

Technical support is very forthcoming in helping people out.

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

The initial setup is straightforward. 

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. 

Alteryx is a simple and easy-to-use solution.

Alteryx's predictive data models are pretty average and can be improved. If I'm using it on a day-to-day basis, the predictive model should keep improving based on data gathering and data preparation.

Alteryx is a user-friendly solution; its content is available everywhere to help users use its functions.

The solution’s initial setup is super easy.

Alteryx is an expensive solution.

Alteryx uses the UI interface wherein you can easily do a lot of things, and it doesn't have to code a lot.

My initial objective was to understand if a non-technical person with a small data science team could leverage a platform that can do a lot of things other than putting in a lot of resources. That's one of the reasons why our company chose Alteryx.

Alteryx is one of the few tools where user experience and customer feedback are up to the mark. I was from a non-technical background, and I wanted to create operators and do a lot of analysis and data cleaning on my own. With Alteryx, I didn't have to do anything except create the flow.

I would recommend Alteryx to other users.

Overall, I rate Alteryx ten out of ten.

Our primary use case is for ML related and deep learning related things like data cleaning and and then later we work on machine learning. I'm a business analyst and we are customers of Alteryx. 

The modelling features are very good in Alteryx and better than what you'd find in open-source software. Python and R rule the market. Although Alteryx is a paid software, it is equally able to provide better performance without writing a single line of code. That's the USP of the software as such. It's very user friendly. 

There are a few imputation techniques which they really need to include. Things you'd find in Python. And there are advanced techniques coming in every day there. Alteryx needs to update more quickly. There are also a few things from geospatial or updating perspectives that are still better in open-source software than what you find in Alteryx.

I've been using this solution for three years. 

In terms of stability, we haven't had glitches or issues with the software.

I have had contact with technical support in license related things, but it's more community based where you can learn and resolve things if you have hiccups. If there are any issues, the technical support will resolve it for us. We have seven people in the company using this solution. 

The initial setup is not complex. 

I think Alteryx is a good software to work with. It's user-friendly and more accurate than other products in terms of the predictions and modelling.

I would rate this solution an eight out of 10.