Alteryx Reviews

I use the platform for a variety of tasks. For example, I extract data from our Salesforce system and prepare it for analysis. It allows customized monitoring of the pipeline. I often prepare data to be imported into Power BI for further analysis. I also use it for personal data tracking and extracting data from our internal time-logging tool to monitor project progress with customers. It helps me stay updated without manually logging in and reviewing reports that may not contain the precise information I need.

The product's most valuable aspect is its ease of use. It allows me, even as a field person, to create workflows and perform data preparation tasks quickly. Its speed and ability to connect to various data sources in real-time are also significant benefits.

The product's pricing needs improvement. 

We have been using Alteryx daily for approximately four years. We consistently update to ensure we run the latest version with all the latest updates.

The product stability is fine.

The platform is scalable. 

The technical support team is good; responses are usually received within a day. 

Positive

The initial setup was very straightforward. The community support, information on their website, training, and resources are excellent. Anyone can learn the basics in minutes and set it up easily.

It took less than an hour to deploy Alteryx. I handle maintenance on my own. There is no significant need for resources. When updates are required, I download and install them, which takes about 15 minutes.

The platform saves me several hours weekly in data preparation, which would require additional personnel. Although I have not calculated the exact figures, it breaks even for me. The return on investment can be substantial for customers, depending on their usage. 

The product pricing is a concern. I use Alteryx because my company provides it, but it would be too expensive if I had to pay for it myself. Many customers also feel it is too costly, especially in regions like Brazil. While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive.

Alteryx significantly reduces the time spent searching for specific information. It handles all my analytics tasks efficiently. Once the workflows are set up, it processes the data and outputs it for further analysis in Power BI. Without Alteryx, these tasks would take much longer.

The cloud version could be improved, as it is less capable than the desktop version. Overall, however, it is an excellent tool.

I rate it a nine. 

We utilize Alteryx for the purpose of transforming data to generate a report for data analysis that predicts the number of customers who will upgrade or downgrade within a specified time frame. After creating the workflow and building a dashboard on it, we set it up on a client-server to run live. When new product data is introduced, we fetch it directly from the database. This process is based on Microsoft SharePoint, and we have specific nodes for this purpose. With the appropriate access, the node will extract the data from Microsoft SharePoint and transform it into the desired format, which we then use to build KPIs and dashboards.

The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners.

Handling a set of data sets for building, cleaning, and preparing is a straightforward process.

The price of the solution could improve by being lower.

I have been using Alteryx for approximately two years.

Alteryx is a stable solution.

I have used Knime previously.

We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money.

In today's world, where every field deals with data, it is essential to have tools that enable us to manipulate, clean, transform, and build dashboards from data. Traditionally, Python and other programming languages were used for data preparation, but now with Alteryx Online, even individuals without coding experience can enter the field and provide valuable solutions to clients. This makes it a useful tool for anyone who needs to work with data.

I rate Alteryx a nine out of ten.

Right now we have huge amounts of data metrics. We have a marketing team. We have sales. We have a networking team. We have door-to-door. In terms of data preparation, this solution was the primary method to get the data from many sources. It is easy for us in terms of integrating with the cloud and we can do most of the preparation. We can enable Alteryx to handle our data preparation, and sometimes you can enable it to set a pipeline and it can be stored in CCP. We mostly use it for working with Tableau. We're currently running it for multiple use cases.

The best thing is that the product is low-code and mostly no-code. It can be used dynamically by both customers and the internal team also. 

In terms of speed and reliability, it is comparatively good and actually leads the pack in terms of competition.

It is easy to set up.

The cloud deployment ensures it scales easily.

The solution is extremely stable.

The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal.

I've been using the solution for quite some time - almost four years. I used it when it was being a stand-alone application and now we are using Alteryx Cloud with integration to Trifacta.

The solution has been highly stable and reliable. The cloud is very stable. There are no bugs or glitches, and it doesn't crash or freeze. 

We have 200 to 250 people working with the product in my company.

We faced a few issues with scalability in the past when it was a desktop application. However, after we started to use the Alteryx Analytics Cloud, this application has been really stable in terms of scalability. Initially, we started the trial with 30 people. Now we have around 200 to 250 people who currently use Alteryx Cloud. It scales quite well for us now.

We have a special SME which is assigned by Alteryx to our organization. If we have any problem, we reach out to them in terms of any support. Mostly, myself and my team have never needed to connect with tech support as it is highly stable. The only thing we've had problems with is having issues around how we can automate the workflow. When we have questions like that, we just check with them.

We've been testing RapidMiner for quite some time. We wanted to have another option in pipeline if there happen to be any stability issues and budget issues happening or if the cost of Alteryx becomes an issue. However, in terms of RapidMiner, we have not fully used it for multiple reasons.

The initial setup is very simple and straightforward. I've used it for a long time and previously used it as a desktop application. While it was simple then, now that they've moved to the cloud, it's even easier. 

The solution is now quite expensive. You need to have a budget for it. However, if you do, it is worth the cost.

We're a customer and end-user.

We are using the cloud deployment and, therefore, always on the latest version as it updates itself. 

I'd recommend the solution to others.

I would rate the solution nine out of ten. It's been highly useful for my organization in terms of data strategy. In terms of usability and scalability, Alteryx is the best.

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.  

At the time, I used the solution for data preparation and data handling, which is cleaning the data and then working with the data, and linking different data effects. 

The solution is on-premise. I use it on my desktop.

Alteryx is great for someone who doesn't want to program and doesn't fiddle too much with the machine learning algorithms. If you need to do sophisticated things (if you're a real data scientist), then Alteryx is not the right way to go. For most users, there is plenty of capability and that's enough for more mundane use. The solution is rich and very flexible.

They have the capability to integrate some oiutside coding, but I didn't invest enough time to understand how that can be done and what the limitations are. If someone needs to do it, I'm not sure if they will be able to save time in the process or if that is cumbersome or not. I haven't tested whether or not integrating R code is flexible enough to accomodate specific developments with both platforms. Integrating optimized algorithms for the sake of automation would be great.

The biggest limitation is that the solution doesn't allow you to do sophisticated things in terms of fiddling with their implementations of machine learning and deep learning components.

I think they should really work on integrating or have a capacity to integrate tailor-made algorithmic code. I think that's one of the most important things they need to be doing.

Alteryx is very stable.

I haven't needed technical support, but they seem to be very available to talk. The people that I spoke to in Alteryx were very reactive and present. The moment you download the software, someone will call you, try to get in contact with you, and try to understand what your needs are.

I only installed the desktop and it's like any PC-type software. It's done in a few minutes, so it's easy. The server part is something else, and I haven't tested it so I can't elaborate on it.

I tested the solution for a long time so I never actually bought the software, although Alteryx is very costly. In comparison, KNIME is free.

To start with Alteryx, you need to pay for the desktop. The desktop platform costs $5,000 per year. You probably get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price.

KNIME is probably the alternative to Alteryx for someone who needs a package. The package can do a lot of things without needing too much programming and with zero code. It's very good for someone who needs access to algorithmic content without needing to develop it. However, I don't have concrete experience using it.

They are both very good packages for someone who wants to develop dashboards or use algorithms without knowing the nuts and bolts or with limited coding. They are very practical. The difference between the two platforms is very limited. They are equivalent.

I used Alteryx for data preparation, and KNIME can do it just the same. The two are very close in terms of concept and the way the two softwares work, but there are lots of tools for data preparation. Right now, I use a lot of loose programming. I develop scripts with R, and that is the most effective way I've seen because I can do whatever I like. I have 100% flexibility.

I think that a real data scientist would go with R or Python and use Spark. It's a totally different world, and these softwares need much more investment in time and effort to understand how to use them. It's a lot of work, whereas Alteryx and KNIME are for the casual user. They are more for the people who are in companies and need to work on data without clearly understanding the mathematics behind it.

I would rate this solution 9 out of 10. 

Alteryx is the kind of software that a corporation would want to go with and to deploy on for people who are not really data scientists and that have to use data, design dashboards, have to clean and prepare data and so on. That's an effective way to use Alteryx. To go for a sophisticated data science type of added value, a data scientist would want to work with programming languages and use a lot of the libraries that are available. At some point, they would want to put all this code and integrate this code into the platform so that less sophisticated users can use the analysis done outside operational lines.

This is definitely the kind of software that is a time-saver if you want to start working on different data sources or a lot of data sources, and you want to work with the data, angle the data, cross-link and so on. It's very good and very easy to use. It's visual, so it's easier to understand what you are doing. When it comes to putting some intelligence into it, it's enough for most people. There is enough that is loaded into software that can help you. The Alteryx interface may be easier to understand than KNIME. You are able to do some nice things with it in just a week.

We use Alteryx to modify and modernize data based on different types of data requests. The data and the data source may be in different forms, resulting in unstructured data in the database. We use Alteryx to give good shape and size to such unstructured data.

Alteryx makes it easy for the end customer to see clean data in a structured form. Alteryx has many features, such as info data, data cleansing formula, the select tool, union, summarize, and text-to-form. We use Alteryx in the database for reporting, documentation, email, and data preparation.

To use Alteryx, you need to think like the people who write software codes. The formula we currently use in Alteryx can be automated. This would be helpful for people using Alteryx who are not from a coding background and can write the formula differently. Whoever is using Alteryx should feel some convenience using it. We found most of the useful features built into Alteryx, but they all are on a paid basis.

I have been using Alteryx for nine to ten years.

I have not faced any challenges with stability.

Alteryx is really scalable. It adds value and fits our business. More than 300 users are working with Alteryx in our organization in India. I do not have the exact figures, but 2000 users globally use the solution in our organization.

During COVID, they had on-call engineers for very good technical support. I would like to have that support again because they have now closed it, which is difficult for people who need it. They should continue that kind of support again. It would be good if they could provide technical support on screen.

We did not use a different solution but we are planning to use Google Cloud Platform.

The implementation is not a big thing for Alteryx. It is simple and easy to use.

We have seen ROI with this solution. However, if we explore other tools in the market, we will probably get a better ROI.

The solution has a more costly license than other tools in the market.

Alteryx is the best solution for people who want their data in a structured way. It is a bit complicated for a new user. The complexity of the tool is evident by the fact that only if you provide an exact input to this tool it will give you the output. However, if you know a little about Alteryx, it is a very good tool for you. We are using an on-cloud deployment for this solution.

Overall, I rate Alteryx a seven out of ten.

We have our data in several ACP-based systems, so we rely on Alteryx to extract the data from the system and build the data modeling in Alteryx. There isn't a cloud version. It is on-prem, but we can deploy it on the cloud, too. We do on-prem development and deploy it on the cloud. 

Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it.

It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting.

In-DB is a concept in Alteryx where we don't need to export data into the Alteryx server to process. The data remains in the source system, so Alteryx can directly manipulate it. That feature is available only for a few tools with limited options. 

I've been using Alteryx for about two years now.

Alteryx is stable. 

Alteryx is scalable. My teammates and everyone in my company have an enterprise account, so we are able to access it.

Alteryx support responds quickly, and my interactions with them have been good. 
I rate Alteryx nine out of 10.

Setting up Alteryx is straightforward.

I rate Alteryx nine out of 10. I have worked on multiple media tools. This one seems to work for most use cases, and it is pretty fast when compared to others. 

If you're implementing Alteryx, you should get the Alteryx application and take advantage of the self-study materials available in their portal. It'll be easier if you try out this application before you start working on the toor.

We used the solution to design our models and databases, and then we used it to automate it through Excel.

The fact that it can turn up all the functions that Excel takes hours to do in a faster way is a very valuable feature. Inputting from various sources is easy. The fact that it can filter or do other kinds of inputs is very useful for Alteryx. Also, the thing with Excel, as opposed to Alteryx, is that Excel can only take up to a number of rows, and after that, it freezes. In my previous work experience, I had to deal with 10,000 or even more rows. Excel was not feasible at all as opposed to Alteryx, which just automated tasks and gave us the results in a few minutes. The reliability was much better.

The initial setup is easy.

I have not yet been exposed to Alteryx as much to comment on negative experiences. I'm taking a class this semester that has to do with Alteryx. I'm pretty sure that once I'm learning the projects and utilizing Alteryx more, then I can give back more feedback.

The usability could use some improvements. There are icons that you choose in terms of inputting the tool or even for filtering and then running different functions, there are different ways of designing your input tools and output tools, and that could get confusing.

I would suggest that if there's any way of simplifying it so that instead of tools or instead of understanding how it works, we could focus more on its usability and the output of it. For me, it was a bit challenging to figure out how to work with Alteryx. If there is any way to make the learning curve less steep, that would be ideal. 

I've used the solution for a year and a half. 

The stability is good, and, unlike Excel, it can handle large amounts of data and not freeze. 

There have been actually hiccups and issues with Alteryx, however, to deal with that, what we did was we went back and saw what the issue was, and mainly the issue was due to Excel. Maybe the value, function time, or strength value was not supporting it. We had to edit many functions and strengths to rerun it through Alteryx. That's one thing that's good in Alteryx: if we run and it's not working, it gives us an output and tells us where we are going wrong so that we can go back and troubleshoot on the problematic areas.

I haven't had a chance to deal with the tech support due to the fact that mostly whenever things went wrong with Alteryx, we were able to fix it by ourselves or with the engineering team. Engineering was able to troubleshoot it and fix it by looking at the output given by Alteryx in the email. It tells you where things are going wrong. For that reason, we did not have the opportunity to go and ask for advice from support.

I have had experience in automating projects in Excel and Alteryx, among others.

I have more experience in Alteryx itself than in Designer. A lot of databases were modeled, and we went and changed or updated the models, attributes, and entities. Then, what we did is we created them in Excel and we just auto-run it whenever we needed to.

It's not complex, and it's also not straightforward. It depends on which database and how many functions you are using or how much you are designing through Alteryx. If there are a lot of structures and if there are a lot of values that you're doing through Alteryx, then it would be hard. That said, from my experience, it's actually not that tough.

I don't deal with licensing. I can't speak to the exact cost of the solution. 

At first, you need to know the capabilities of Alteryx. It's a good idea to attend a lot of webinars or do a project. That would be really helpful to understand how powerful Alteryx is. Alteryx is used a lot in financial industries, according to what I have seen. It becomes really taxing to do everything in Excel or spreadsheets. Something that would take an hour or two hours to do it manually can take five to 10 minutes for Alteryx. Therefore, try a small project or understand the intricacies of Alteryx and that will get you started.

I'd rate it seven out of ten.