Alteryx Reviews

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.

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. 

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.

It is mostly used for data validation rules. For example, for many legacy systems files, we check whether the count in one file is matching the logic that we have in another file. If it doesn't, then we fill that particular data load. The ultimate destination for that is a database, but to avoid data mismatch or the garbaging of data because someone didn't put files in a proper format, we are doing the validation with Alteryx. So, it's basically for data cleaning and removing some line characters from the data in the files so that there are no data issues while using SQL Loader.

I haven't worked much with Alteryx because my primary work is in Informatica. I work with it only when I don't have any option or it is too tedious to work in Informatica for a particular file or schedule a load. For example, if the load will fail in Informatica, or it will not allow the rest of the stream to continue, I use Alteryx. In Alteryx, I have that option. I can have a dedicated flow that will run for that particular file. For my 100% ETL work, 10% work is in Alteryx, and 90% is in Informatica. So, I haven't explored it much, but whenever any requirement comes, I work on it. So far, I was able to utilize it for whatever I need. Everything I needed was already there.

It has everything that one needs. Whatever you want to do with the data can be done with Alteryx. However, we haven't implemented it on a large scale because we don't have a physical server. We have a virtual server for this, and there are limitations to that. So, we use it for smaller data chunks, not bigger data volumes. It is mostly for files, not for databases.

There is a community for Alteryx, but it is so spread out. For example, if I face an issue with Informatica, I have Informatica forums that keep on adding to that. They have a very cohesive structure when it comes to the issues and their error messages. They are very easy to use for Informatica issues, but in the case of Alteryx, the information is too spread out, and it is difficult to find the answer to a particular issue that someone faces. If Alteryx can organize its forum and the issues in a better way, it will be easy for developers.

I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica. With Informatica, we can use hints and other things and they directly hit the database, but with Alteryx, that is not the case. So, when it comes to database connectivity, the performance is not as good as a flat file as a source.

I have been using Alteryx for around 10 months. 

It never crashed in the last 10 months.

I assume it would be scalable without any issues. Most of my work has been related to files without any databases or other connectors. 

We have more than 5,000 people using it. This is a free tool across our organization. So, everyone uses it in case they want.

I only installed Studio on my laptop. The server was installed way before I joined. So, I can't comment on that, but the Studio setup was easy. It was almost like Tableau.

It has Excel and diagram functionalities. So, not much technical knowledge is required to use it. If you are aware of both or have Tableau and Excel experience, then you are good to go.

I would rate it a seven out of ten.

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.

Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better.

The most valuable feature of Alteryx has been Designer. That has been beneficial because we load our data tables for Tableau. We use Alteryx to load the data into a database from various different data sources to come up with dashboards our business can work with.

We've been working with the products a bit over two years now.

The stability is good. There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant.

I don't think we've reached the limits of Alteryx yet. Our strategy is to push the envelope to see how far we can go, especially in terms of our advanced data analytics and using Alteryx to look for other types of anomalies or issues with our data.

We have around 20-plus active users doing transactional data analysis. We will likely increase the usage depending upon the use case and expansion of our global data sources.

Most of the technical support we have used thus far has been internal.

The setup was pretty straightforward. We have a group that handles deployments within our company, and we get our license. They have Alteryx servers set up. I'm just in charge of the users with licenses. We had an implementation strategy that was completed in a few weeks.

The setup was performed by an in-house team.

I can't speak about the specifics of our licensing. Our operating costs are all shared and allocated. That helps keep the cost down.

We evaluated other options, but the decision was made by our corporate leaders, and I can't recall what the alternatives were. 

I rate Alteryx nine out of 10. I might be biased because of what I'm achieving with it. I don't think we've reached the extent of our usage. I want to increase the data analytics with it. My advice to prospective Alteryx users is to have a good plan. Run through some tests in scenarios where you think it might provide you with a good solution.

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.

I believe we are using the new version. 

I use the solution for development and certain financial projections, such as making a business plan. I employ the solution for the amalgamation of big data. 
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I also use the solution for certain analytics deployment, such as that found in the commercial arena, for ascertaining the projections of sales. 

I like the solution's velocity, the speed with which it processes data, and its ease of use. It has good usability. 

A colleague of mind mentioned that the solution should have more options for the visualization of data. The visualization filtering could stand improvement. 

The documentation could be improved upon. 

The price could be better. Though we are satisfied with the solution, we feel the price to be a bit on the expensive side. We make use of another ETL solution, the PowerCenter. We would like to improve on and escalate Alteryx, but find it too expensive at the moment to do so. 

I have been using Alteryx within the past 12 months. 

I believe the solution to be stable. 

I believe the solution to be scalable, although I cannot say for certain, owing to the price. It We are not talking about a corporate solution at the moment. While we wish to improve upon and escalate the solution, I believe it is too expensive for us to do so at the present time. 

While I cannot speak about the future with certainty, we do have plans to increase the usage. We are satisfied with what we have at present. My area currently consists of four licenses and we would like to improve on this, to have more users. For the moment, we don't have definite plans to buy another license, certainly not in 2022, although, perhaps, in 2023. I sure hope so. 

Technical support is good.

We make use of another ETL solution, the PowerCenter.

We also make use of Databricks, which we use as a data science platform, although I cannot say how this compares with Alteryx. We use Databricks as a corporate ETL solution from the Data Lake. 

We use Microsoft Azure, as well.  

The initial setup was easy.

The deployment was fast, I believe lasting one day. 

We handled the setup on our own. 

I don't know how many people are needed for deployment and maintenance. 

The price could be better. Though we are satisfied with the solution, we feel the price to be a bit on the expensive side. We make use of another ETL solution, the PowerCenter. We would like to improve on and escalate Alteryx, but find it too expensive at the moment to do so.

The licensing costs are around 26,000 reals, perhaps $6,500 a year.

The licensing is all inclusive. There are no further costs. 

I don't make use of Alteryx myself, although my area, of which I am a manager, does. 

I am a customer of Alteryx. 

There are six people making use of the solution in our organization, two from compliance and one a data scientist. 

My colleage rates Alteryx as a nine out of ten. She says she loves it.