Alteryx Reviews

The use cases range from basic EPL to predictive analytics and spatial analytics.

For example, within our functions group and our larger finance organization, we have a number of use cases where people are doing a lot of manual work, mostly in Excel. This has enabled us to move away from that, resulting in not only streamlined processes and efficiencies but also a significant increase in our ability to have confidence in that data. If the need arises, we may need to refresh data or revisit something.

It essentially automates what would otherwise be some extremely tedious activities to rerun and re-perform.

I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users. Obviously, there's a lot more to it, but these basic data prep and blending tools help us a lot.

In some ways, I believe it is not yet as integrated as it could be. I believe that the data integration inquiring component could be improved slightly.

The data integration component could most likely be improved to increase enterprise scalability.

I have been working with Alteryx for two years.

It varies, but it will be the 2021 version.

The stability of Alteryx has been great.

It is highly scalable for the vast majority of things you want to do. When it comes to extremely large data sets or very specific analytics that would be delivered at an extremely high scale, either really, really tremendous scale or tremendous volume may be problematic. However, those are only a small number of possible scenarios. As a result, it hasn't been a problem for us, but we've switched to another technology for those types of use cases.

The roles are extremely varied. We have over 100, and less than 200, but that will increase in the coming months.

We are currently at capacity in terms of licenses. So we're looking to go from the low triple digits to over 1000 in the next year, maybe a year and a half. I believe we will quadruple in the coming year.

Technical support is quite powerful. I believe you must know how to take advantage of it, but I believe they have the necessary infrastructure in place to get you where you need to go. I believe it is somewhat incumbent on the organization to have someone serve as that contact, that partner. They're fine as long as you keep your end of the bargain.

We switched because we wanted to. We didn't have anything that could do everything Alteryx did, in my opinion. We had some minor transformation tools and such, but nothing that could truly compete with Alteryx.

The initial setup is straightforward.

That's something we're still working on. We started with about 100 licenses and identified areas where we thought it could add value. That has been demonstrated, and we are working to scale significantly over the next year. It's been a two to four-year journey from discovery to widespread adoption.

The majority of the work is done in-house. We initially worked with Alteryx, but it was primarily done in-house.

It has certainly paid for itself on a per-user basis. We haven't done a group ROI yet. But it more than pays for itself. Our "highlights" are quite powerful. The more prominent business cases are extremely compelling.

It's not cheap, but they offer a variety of packages to help you grow in practices and programs that allow you to scale effectively while also testing how deep the use can penetrate while allowing you to really reduce the risk. They offer various bundles in which they offer free licenses as well, so you can essentially see if you're able to use them consistently. Then, the next time, you can add that number or various other programs. It's probably on the pricey side, but they provide some really useful ways to grow and test.

If you're serious about scaling, you'll need a product manager, which is a major cost aside from the license.

We evaluated other products.

Simply strike a balance between democratizing the use of data transformation and analytics and having a vision for how you might want to roll things out. I think it's not the easiest thing to strike that balance, but that's my recommendation. To try to have a plan, but also to make sure you're not putting up too many barriers.

I would rate Alteryx an eight out of ten.

We were analyzing data trying to find anomalies with the servers and things that were going wrong. Normally in what we do, it can be a very manual process looking for that kind of stuff. Therefore, using this product, I created a workflow that went out and looked across all devices for problems that are happening, and managed to cut down the number of issues that were being created daily.

The amount of labor that it takes us to find issues is pretty high. When you put the automation in place, that frees up your time to concentrate on the advanced analytics. We recognized right away in that first year that the amount of FTEs that we would have to acquire to do that work was a significant amount of money. It just stepped us into automation of many things that we do. That frees us up to be able to do a more mature analysis, and not that day-to-day stuff that you we have to track.

Not everybody's budget allows for having a team of 20. We just don't have that. It's saving us a lot of money in FTEs.

Right away we knew this has a lot of value, even from the perspective of data manipulation and automation. 

There are all sorts of use cases that we could come up with. It does take a little bit of learning and figuring out how to work the tool, however, we've been really successful with it. I even went and presented at one of their conferences our use case. 

Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful. 

It not only helps us with efficiency. You can also flip the steps apart to make that data flow in various ways. 

Most tasks run in less than two minutes and provide us with what we need very quickly. I can wrap rules around the data to look for certain things or to notify people. 

The amount of manual labor that we're saving by writing those workflows is huge.

The solution does have a bit of a learning curve.

I initially managed the product completely. Then, when the user base grew, another group just took it over. What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown. When you get hundreds of users in there, trying to manage access to the product is a little tougher than Tableau.

I've used the solution for maybe around five years or so.

The solution is quite stable. It's not as mature as Tableau in that stability area, however, it's pretty reliable. We don't have a lot of problems with it. Initially, we created a lot of cases as we didn't understand how to best manage the product. Now, very rarely do I open a case with support and have issues.

They recently moved to a different support model. Initially, when we came to the product, the support was pretty good. Now, when we open cases, it seems not so good. They're asking customers to pay more money to get a higher level of support. Of course, due to the fact that we don't open that many cases, it's not important to us to get to that higher level. That said, the response time given and the attention to us is not as good as it was initially.

When trying to pull large datasets into Tableau right away we realized that we had to do something different. Prior to Alteryx being available, I would use scripting to stage the data. I happened to notice an ad on LinkedIn for Alteryx, and I thought, "Wow, this is exactly what I need." I talked management into buying it. I was the first one in the company to start using the product.

We used outside vendors to come in and help in certain parts of the implementation.

It's more expensive than Tableau, for example.

There has been some scrutiny on the overall costs. We're trying to go to more open-source, with more products that don't cost so much. I have to continually work with folks on proving that the value of what we pay in licenses.

The solution has recently changed its support process and is now pressuring users to pay for a higher level of support services. That could potentially be an extra charge for some companies. 

We are just customers and end-users.

I would advise other companies considering the solution that the training is important. They've been great working with us on free training for this, that, and the other. The company really does provide a lot of those resources. The community is very good. The knowledge base that's out there in the community is great. A company should just tap into that and any free training they can. It takes a little bit of time to get proficient at it, however, the payoff is there.

Overall, I would rate it at a seven out of ten.

Alteryx is primarily used for data transformation and ETL processes within our environment. We also utilize its machine-learning capabilities for regression and classification tasks. Our team leverages it for back-end calculations to enhance visualization performance.

The platform's user-friendliness, particularly for non-technical users, has allowed for more efficient data processing and the integration of machine learning within our workflows. It has streamlined our data transformation processes, ultimately improving the performance of our visualizations.

The product's most valuable features include its ease of use for non-technical users and machine learning capabilities. The flexibility to integrate custom code is also an important aspect of the platform for our use case.

The product could benefit from improved integration with visualization tools or even the inclusion of built-in visualization features. It would reduce the need to use multiple tools and pay for additional licenses.

I rate the solution's stability a seven out of ten. 

I rate the solution's scalability a seven out of ten.

Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs.

I rate Alteryx a seven out of ten. 

We mainly use Alteryx for large files. 

It's incredibly fast for loading and filtering the data. We use it to read clients' information and general entries. We have files of about 20 gigs with perhaps millions of records, and we use macros in order to filter the information.

The filtering is fast, and it provides a search tool that is great. Macros are useful and fast for reading a lot of files and then creating just one file.

Its price is not great for small companies.

The export of the final TXT is hard. It's slower. We have a local deployment, and it could be because of the hard drive. SSD would perhaps improve the speed.

I'd like to see more artificial intelligence business tools or features in Alteryx. 

I've used Alteryx for about three years.

I'd rate it an eight out of ten in terms of stability. Sometimes, the app crashes when there are large files or when there is a huge amount of filtering data.

I'd rate it an eight out of ten in terms of scalability.

I haven't used their support, but the documentation is good enough.

I used IDEA, but it was too slow. It was on x86 support, whereas Alteryx supports x64. So, we moved to Alteryx.

We have seen an ROI, but we don't have many licenses because of the price.

It's very expensive. I'd rate it a four out of ten in terms of the price. It's great for big companies but not for small companies.

If you are trying to read more than 100 million records, I'd recommend Alteryx, but if not, you can use another tool that is cheaper.

I'd rate it a nine out of ten.

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.  

Primarily, I use Alteryx for Excel. I also use it to automate pipelines whenever necessary.

The most effective feature of the solution is that it is a fast product with good performance compared to traditional solutions. The tool can deal with large or huge datasets.

I think the tool does not run on some operating systems. I think it would be great if Alteryx could provide an in-built machine.

The software is not fully optimized. What I try to do is use Microsoft tools if I have a heavy workflow. I move to a tool to be able to respond to the workflows for a few seconds. I have to wait until I am able to move to another table, and then I can't duplicate. There are too many optimizations to run.

I have been using Alteryx since 2018.

Stability-wise, I rate the solution a nine out of ten. Overall, I have had a good experience. I encountered a few bugs, but I think it is okay because it doesn't happen every day and is normal.

Scalability-wise, I rate the solution an eight out of ten. Currently, the tool also offers a cloud version. Usually, scalability is not needed in my environment. In my company, we only use desktops.

I think that, in my company, I work with the tool as part of a team. Additional departments also use the tool. My team uses Alteryx. A total of ten people use the tool.

The solution's technical support is okay. I posted a few queries and called up the support team for help. I felt that the support team was quick to respond and was also helpful. I rate the technical support a nine out of ten.

Positive

The product's initial setup phase is simple and straightforward.

The solution is deployed on an on-premises model with servers.

If one is a high price, and ten is a low price, I rate the tool's price as a one. The tool is expensive.

I think that apart from Alteryx, I have had experience with a lot of other products, including Sagemaker. I had purchased a product for one of my customers, who then compared it with Alteryx. I also know about some products like Talend and Rapidminer. I didn't like Rapidminer's interface.

I don't use the predictive analytics part in Alteryx.

I am not sure about the data blending part of the tool.

It is easy to integrate and set up the product with other third-party solutions or hardware. The biggest challenge with the integration is probably the need to get approvals and follow up with the organization. I think the process is quite easy.

My company has not had the opportunity to integrate Alteryx with AI tools.

I recommend the tool to others.

I rate the tool a nine out of ten.

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. 

The biggest use case for the solution is that it allows you to it allows me to combine data from different sources and different formats to create a unified data set to answer business questions. I can take data from my general ledger and combine it with my expense report data or with external data or with different parties or different questions, and it could all be in a different format. For example, one source can be from a database, one can be an Excel file, one can be a PDF, or a CSV file. Alteryx lets me very easily put them all together and create one database. 

The biggest thing I like is that you need zero coding experience. I'm not a coder. I'm an accountant by trade, and I've been able to pick up the tool fairly quicker, basically.

The tool is very drag-and-drop. The tool has very good documentation to help you understand the features.

The community is very active and helpful.

I like that I can merge data from different sources into one place. 

With this solution, we can do reporting in about five minutes as opposed to day.

Once we've vetted the data, we can get the solution to run during off-peak hours so we can out data very easily. 

There's a lot less maintenance required.

We like that we can make notes right on their Canvas, so it's easy to pass workflows over to other users.

The visibility is very clear. We can show what data is being used and how it is being transformed.

My true data is able to stay intact even though I can easily manipulate it. 

I'd like it to be easier to work with PDF. When you want it to read PDFs, it can be a bit difficult. That may be a PDF issue, however. 

Maybe if I was doing more spatial or geographical tasks, I might need a bit more; however, for my purposes, I have all the features we need. 

I've been using the solution since 2017 or 2018. I've used it for five to six years on a daily basis. 

I find that the Designer is stable since it's on my machine. Sometimes the server environment is not the most stable. I'm not sure if that's due to the fact that we don't have enough cores or whatever that might be; however, that's something that's probably a little less stable, the server at the bottom. Again, the servers will be used to run flows, not to create the flows.

The Designer is where you create the process and your logic, and you can use a Server to run the processes at different times throughout the day.

The scalability is fine. That said, the pricing model is not the cheapest. You have to be careful who will be using it. The pricing is the only hindrance to scaling. 

We have around 300 to 500 licenses. It's pretty mature in our organization. 

We have a great relationship with technical support. They are helpful and responsive, and they have a great community.

I'm not sure if the company used something previously.

In order to deploy it, you need to have Alteryx Designer. You have to have that installed on your machine. We have a yearly license and you just basically renew your license with Alteryx to keep it active. 

In order to maintain our flows, there is very little maintenance needed. 

We have witnessed excellent ROI. The fact that we can schedule flows and reduce time and entry to market has been extremely positive for the company. 

The pricing is reasonable; however, if you need a lot of licenses, it will get expensive. 

I am not using the latest version of the solution. We're always one or two versions behind the latest, as we only do updates once or twice a year. 

The great thing about the solution is that if you know Excel well, it translates very well into Alteryx. It's important to have an open mind; however, I'd recommend everyone give it a try. 

I'd rate the solution eight out of ten.