Alteryx Reviews

We primarily use the solution for ETL purposes and also for a lot of our modeling and scheduling.

The solution has excellent drag and drop functionality. There's no need for coding. There are nodes ready for us to use as well. It makes everything extremely easy. The user-friendliness is a big draw for us.

The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete.

The solution could maybe use a connector as a direct input for MySQL or something like that. Right now, we use ODBC connectors for MySQL. If a direct connector was available on this product that would be very helpful, especially for our organization.

I've been using the solution for five years.

The stability of the solution is good. We don't have issues with the product crashing and we don't find there are bugs and glitches that affect its quality. It's reliable.

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

The technical support is great.

There's a very good community that surrounds the solution. However, you can also reach out to Alteryx directly as well. They're just a call away if you need them. I would say our organization is satisfied with the level of service they provide. 

The pricing of the solution is a bit on the expensive side. We use an Alteryx Server and Designer as well. The server itself is a bit pricey.

We're just a customer. We don't have a business relationship with the company.

Our organization is dealing with large amounts of data, yet we do not have the money to buy a Microsoft product like SQL. Alteryx is a pretty good alternative to handle the ETL part of the workload.

We've been largely satisfied with the solution.

I would rate the solution eight out of ten overall. We've been happy with the results that have been provided to us so far. If the solution offered a connector as a direct input for MySQL, or better data visualization, I'd rate it higher.

We are using this solution mostly for ETL purposes, and we have just started using advanced analytics, demand forecasting, and some supply chain optimization tasks.

The design portion of this tool is easy to use without code, which his something that something we can appreciate. We can say it's code-free usage.

There are no ready models to use in analytics. There is no content. You have the tools but you don't have the content.

In the next release, I would like to see Auto Machine Learning.

I have been using this solution for three years.

We have just upgraded to the latest version.

This is a stable solution.

This solution is scalable.

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

Team members have contacted technical support for troubleshooting purposes. The technical support is sufficient.

Previously, we were using Microsoft System Servers. Alteryx has a more user-friendly interface allowing more non-users to use it.

The initial setup was simple. Just connect to a couple of data sources and transform the data. It took about three months to deploy.

We do the maintenance of what has already been developed. 

We did not use a vendor, we did the implementation on our own.

There are some implementation services and internal effort costs at the beginning but there is nothing else.

This is a product that I recommend.

I would rate this solution 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. 

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.