Alteryx Reviews

Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx.

They can provide some pre-built tools for predictive analytics instead of us having to build all the tools.

It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently.

I have been using this solution for more than six years.

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.

I believe their technical support is pretty great. I mostly use the Alteryx community, which is really helpful. It is maintained by Alteryx people.

I used SQL previously, but it was not very good for quick and dirty analysis. So, I switched to Alteryx.

It is straightforward. It is on the cloud, but the major functions that we have are on the desktop itself. The cloud solution is good for client deployments.

My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive.

I would rate Alteryx a nine out of ten.

We primarily use the solution for data processing and ETL.

Overall, I'd have to say the tool is pretty awesome.

The solution offers very good data transformation.

Users are able to read in from any source, combine heterogeneous sources, and providing output or input to the next downstream step. You can put these things together or you can create very complex or simple flows and then tie them together. 

The scheduling within the solution is excellent. 

The initial setup is straightforward.

I can't recall a feature that may be lacking. Overall, we've been happy with the solution.

It's a technical product and those that don't have proper training will have to deal with a steep learning curve.

I've been using the solution for over five years now. It's been a while.

The solution is reliable and quite durable. We haven't dealt with bugs or glitches. It doesn't crash or freeze. It's very stable. We're happy with it.

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

We don't deal with technical support often. We typically have had other people to do that for us within our organization. That said, the support has been there to accommodate us in terms of the different and pretty stiff information security policies and standards. We're mostly satisfied with the level of service.

The initial setup is not complex at all. We found it easy. It was straightforward. 

I don't handle the licensing aspect of the product. I can say that we have to have an enterprise license. Currently and periodically that gets challenged and they try to take it away and we honestly have a hard time finding a tool that could replace it. Therefore, we wind up keeping it. It's happened several times.

We're a corporate user and end-user of the product. 

While I don't know the version number off the top of my head, I can say with certainty that we are using the latest one.

The solution is going to be best for technical users or people that have hands-on experience with data such as data scientists or people that can be creative and deal with multiple different databases and different permutations in the structured query language right across those different databases. 

It's fairly standard, however, not completely, and so, people in that realm tend to be able to function well, people that are analysts may struggle and have a bit of a learning curve that they have to deal with. I've been doing this throughout the information life cycle - about 35 years plus. Therefore, for me, it's my second nature. Others that haven't been exposed to technology over that timeframe may struggle.

I'd rate the solution ten out of ten.

Alteryx is one of our primary tools in our company and we use it mainly for future analytics. We are primarily trying to determine what the past has looked like and then apply predictive analytics. 

I think that our success with this product is mixed. It has probably gotten some people started easily or fairly easily on extracting data. But I also think that to some extent, it puts a limitation on us, because I don't think that we really realized the training that you need in order to be really strong in the product.

I like the fact that you can easily blend data from different platforms. That is one nice feature.

Additional comment: You can connect multiple input tools to different platforms and use joins/union to either concatenate or blend data in a seamless fashion.

Alteryx brands itself as a tool that you can use to avoid having to code. In reality, however, as soon as you start with your task, it gets just a little complex. Alteryx is just as complicated as coding, in my opinion. It is great for relatively simple data mining and data extraction type tasks, and I sure that it can do very advanced things, in particular when you look at the tool installation. That said, as soon as it becomes advanced, it is not very easy to use. In fact, it's quite complicated, so when persons with a coding background attempt to use it, they fall back on trying to code something, instead.

The biggest complaint that I have is that the online help is not very comprehensive. It is very formal, but there are not a lot of examples and use cases, and there are many signs there are difficult to understand. I think that it's a challenge.

In the future, I would like to see improvements made to the machine learning capabilities such that they are comparable with Python.

I have been using Alteryx for three years.

My impression is that it's quite stable. You can easily make small mistakes that have an impact. For example, we use Alteryx gallery and sometimes it seems what when you have a relative path versus an absolute one, it is tricky to keep track of.

I have never spoken with technical support.

This is my first job in analytics where I have used a dedicated tool. Prior to that, I did some work that involved coding.

Although I use this product regularly, I used to code for many years and I am not a big fan of tools like Alteryx. I don't think that it's a good product, and the reason is that when the use cases get more complex, the models get exponentially larger and more complex to put together.

My advice for anybody who is implementing this product is not to underestimate the need for training, in particular, when your use cases get a little more complex.

I would rate this solution a five out of ten.

We primarily use the solution for all machine learning projects, including perspective molding. We're using it for our marketing efforts.

It keeps on upgrading, which is nice. It's always updating with new releases.

A majority of people at our organization like the drag and drop features.

The database is very good.

Overall, the solution as a whole is extremely useful.

The initial setup is easy.

The security on the solution is pretty good.

It has a very nice dashboard.

There are a lot of good customization capabilities.

With some of the features in the database, they don't offer certain things, like Keynote or transposing. I'm not sure, if, with the latest update, they've added these capabilities in or not.

The solution can be quite complex in some aspects.

For some specific coders, it's still is a kind of concern that they don't have coding options available. We're moving to Dataiku due to the fact that it caters to both coders and clickers (those who prefer drag and drop).

I'd say I've been working with the solution for two to three years now. I've been using Alteryx for all my data scientist projects.

The solution, for the most part, is pretty stable. We don't seem to have too many issues with it.

The solution can scale to some extent.

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

While the community support offered by the solution is great, if you need to directly contact technical support, it's not so good. Often there are long queues and it takes a while to get help.

I've been using Alteryx for all my data scientist projects up until recently. However, now I'm shifting to Dataiku, which my organization is offering instead.

The initial setup is not too complex. It's pretty straightforward. We found it to be rather easy. However, there are certain implementations that can be a little more complex.

We handled the implementation ourselves in-house.

I'm not sure of the exact cost of the solution. It's not an aspect of the product I deal with directly.

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

I haven't updated to the latest version yet. I'm unsure which version of the solution I'm currently using.

We are, as an organization, shifting and moving away from the solution. We are now going to utilize a new tool that is being selected. Due to some complexities in Alteryx, we are moving away from it.

Overall, I'd rate it seven out of ten. It has a lot going for it, however, we need a solution that's less complex and offers more coding capabilities.

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

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.  

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.

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

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.  

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.  

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.  

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.  

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.  

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

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.  

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.  

The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features.

From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific.

I have been using Alteryx for five years. 

The product is stable. 

The tool is scalable. 

The technical support is good and professional but not always quick.

The initial setup was simple.

The designer license costs 5000 euros. The server edition is 1000 euros. 

I would rate the solution an eight out of ten. 

The solution is used for data ETL.

The most valuable feature of Alteryx is its performance. It is a powerful solution.

The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts.

I have been using Alteryx for approximately four years.

I rate the stability of Alteryx a ten out of ten.

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 not used the support. There is a helpful online community where we can search for answers to our questions.

I previously used other solutions but they were not as good as Alteryx. We switched because of the scalability, ease of use, community, and workflow.

The initial setup of Alteryx is not difficult.

I rate the initial setup of Alteryx a nine out of ten.

The license price of the solution is expensive.

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

This is one of the best tools for ETL. It has a lot of capabilities. I would advise others to explore the solution. There is a free certification that is offered.

I rate Alteryx a nine out of ten.

The solution is good for data transformation from the web and office.

I use the solution to build an ETL workflow.

The ease of use is the solution's most valuable feature. It doesn't require coding for usage. I only have to drop and drag the available options to perform complicated functions.

They should make the solution user-friendly for nontechnical people by giving specific names to the options. That will be helpful for them to understand.

I have been using the solution for six months.

I rate the solution's stability as a ten.

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

I rate the solution's pricing as a ten, as it is highly priced.

I rate the solution as a nine.