Alteryx Reviews

I'm a contractor who works on different teams. Right now, I'm working on three different projects. 

Alteryx has cut down on time spent cleaning and transforming the data. It improved productivity. Transitioning from PoC to other users was seamless. The users upskilled quickly, so they could take ownership without a steep learning curve.

Alteryx effectively visualizes the flow of data and what happens at each stage. I also like that it's a no-code solution. I also like that you can troubleshoot certain parts of the workflow by putting them in a sandbox.

I have been using Alteryx off and on since 2020. 

Alteryx is stable.

Alteryx customer service was great. They gave me a trial version, and the client company bought licenses. The technical support and the sales guys were all helpful and supportive.

I use Excel and Power Query. I don't use Alteryx personally because I don't have the funds for an enterprise solution.

Setting up Alteryx was straightforward. The drag-and-drop menus are fantastic, and the icons are great. There isn't a steep learning curve. You become familiar with it quickly.

Alteryx wasn't deployed in the previous project. It was somewhat irregular. We ultimately did the dashboard in Power BI, but nobody was using Power BI as a data cleaning and transformation tool, so we used Alteryx as a proof of concept, We also deployed the cleaned data to use in a dashboard, and the dashboard was delivered to the client.

I rate Alteryx seven out of 10. I recommend using the 14-day trial version to learn how it works. You can use some of their in-house data to try real information or run a parallel. The trial version is super helpful for making a decision and understanding the capabilities. That's what kind of sold me.

We are using Alteryx mostly for mission learning, forecasting, and predictive modeling use cases.

Alteryx has improved our organization because it provides an easy way to build machine learning models as well as to do citizen data science work.

The most valuable feature of Alteryx is the intelligence suite. 

Alteryx can improve the model management and deployment processing of large workloads.

In a future release, there should be more cloud integration with GCP. The ability to connect to GCP components as well as deploy things on the cloud would be beneficial.

I have been using Alteryx for approximately four years.

Alteryx is stable.

We have found Alteryx scalable in our usage, when we increase users we will see how it can adjust.

We have approximately 100 people using this solution in my organization. The users are from different departments, such as financial analysts, data scientists, and data analysts. We are using the solution extensively and plan to keep using it.

Alteryx support is good.

I rate the support from Alteryx a four out of five.

I have not used other solutions in the same category in the company I work for.

The initial setup of Alteryx was straightforward. The full deployment took approximately three days to a week.

We did the implementation of Alteryx in-house. We have three to five people for the maintenance and deployment of the solution.

To my knowledge, we haven't quantified, the return on investment, but we have seen a return on investment.

My advice to others is that the solution has a lot of room for expansion and they should get going on a couple of use cases, even if they are small automation use cases, and then build from there. You can always build in machine learning and more sophisticated use cases as you go along.

I rate Alteryx an eight out of ten.

Alteryx is typically used for data preparation and blending. I have clients who use it for Special Analytics as well as Churn Analytics.

Everything was manual and repetitive. With Alteryx, instead of spending three hours preparing the reports, it will only take them two minutes because everything is connected to the database.

The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system.

Alteryx has good prep and blend features, as well as the ability to connect to various sources.

My understanding is that they will include a visualization feature. 

All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required.

They could have better reporting. The aesthetic could be improved.

We have limitations on the number of fields. It doesn't really get everything if we have to add more columns.

I have been working with Alteryx for four years.

We are working with the latest version.

We're working on both the design and the server version on-premise.

So far Alteryx has been stable.

Alteryx is scalable. If you use the server, you simply add to the specifications based on the size of the data.

I have not contacted Technical Support. I have a team of Alteryx experts, so we don't rely on other support.

We are also working with the Designer Platforms for four years. It includes the Data Science features.

We were working with the most recent version.

I am familiar with many solutions.

The initial setup is fine. 

Prebuilt connectors are available, and you may need to create middleware, particularly for SharePoint. Most clients have it in either SharePoint or GoDrive which doesn't have a direct connector, we will have to create another one.

As long as you are connected to the source countryside, the tool itself doesn't require any special maintenance.

I have a lot of business use cases where the ROI is less than a year, and sometimes even in three months.

The designer version has a list price of $5,995 USD. The server version is even more expensive because it is only for collaboration. The designer license is needed to access the servers for collaboration, which in my opinion is expensive.

We were an Alteryx partner.

In terms of Alteryx, we resell the solution to our clients. I do have a team that handles the implementation. I specifically look for clients and see if there are any other excuse use cases that we can do with them.

Be aware of it, there are several versions, and there is a free trial that they can use. Once they understand how to do everything you're doing in the system, it's very simple to transfer it to Alteryx.

I would rate Alteryx an eight out of ten.

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. 
.
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. 

I use this solution for KPIs and trending.

All of the data science features in terms of unioning and joining data together are valuable. The formula tools are good, and it provides an easy way to summarize data. 

It has some really good, solid, basic reporting functions. 

It's not as robust as a lot of the dynamic interactive tools, but it certainly gets into the more static reporting very effectively.

The only weakness I would say is on the visualization side of having that dynamic incapability.

I know that it is dependent upon having the on-premise and cloud server environments, but even there, the product functionality is somewhat limited.

This would reduce the need to integrate it with other products.

I have been using Alteryx for a couple of years.

I am not using the latest version. I am one version out, and I am in the process of having it updated to the latest.

I generally stay up to date with each release. 

I am using the desktop version.

I don't think that there any more issues with stability than would be expected for a product of this type. Those occasional things happen, but it's nothing that is significant.

Alteryx is easy to scale. 

We have three people who are using this solution in our organization.

Technical support is very good. They get high marks.

I would rate them a ten out of ten.

We had used JMP, which is a product by SAS, and it really didn't have any capability of doing the automation that Aletryx has, other than some really bespoke programming language. It is a type of script language. 

It is very awkward to learn and use it.

The initial setup is definitely straightforward.

I would definitely advise others to give it a fair look. It's a great product.

It is not marketed as a solution to all different types of aspects of analytics. I'm not going to downgrade it just because that's not within the scope of what they're marketing the product for.

Based on what it has been marketed for, I would rate Alteryx a ten out of ten.

The solution is primarily used for data preparation, data cleansing, and, in some cases, predictive analytics. That said, the major use is in the preparation of data.

I am the sales guy. I don't work with the product every day. However, I hear from my customers that they like the easy-to-use interface. Another feature they like is the in-database feature, and, right now, the new intelligence suite add-on they delivered a couple of years ago.

The support is very good.

The principal problem is the pricing. They're expensive products. They don't have an option to scale the product while the customer is starting to use the product. There are no options for customers that want to move from smaller scale and expand the solution to the rest oth the organización. The Designer (pleople who develope models and flows) cost 5,195 USD each one, but if you want to collaborate, you have to buy a server which cost 80,000 USD not matter how many users you have, so you cannot scale from a small group of users to a large one.

It's only available as an on-premises solution.

It would be ideal if the product offered some sot of option for smaller companies.

The solution is hard to scale in that it is pricey. You need to buy a server. You would need to have the correct sizing, and, if you don't, you would need to buy a bigger server, which is expensive. They don't have a way to grow the product progressively, in a progressive way.

The support is very good overall. We are satisfied with their level of service. They are knowledgeable and responsive. 

We also use Dataiku. We are partners for both products.

In the case of Dataiku, they have a stacking in Amazon. We are offering this option right now. I know that they are going to deliver an option in Google Cloud also. Alteryx, on the other hand, is only on-premises.

The licensing model that they use makes it a very expensive proposition for many companies. It requires buying a server, as it is only on-premises. 

In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000.

I've been searching about the difference between both Dataiku and Alteryx products. I'm working to evaluate the two and compare them to each other. Technically, we have a customer who is comparing both products, so we have to prepare a document comparing them for that purpose.

We are Alteryx partners.

I'd rate the solution at an eight out of ten. It's a very good product, however, the pricing makes it quite expensive.

In comparison, I love Dataiku. I've seen it's a very, very good product and we are working hard to start offering this product to all our customers. They have an option for companies to from medium-size to large-size. However, they don't have options for small customers. That said, you can start from, for example, an investment in $30,000 and up. You can go progressively investing in the product. That's not the case for Alteryx.

The solution allows us to create some reports that my organization uses, that my team uses. We also move some data from one particular legacy ERP into a shared SQL server to mix information from defense applications into one repository for analytic purposes.

The connection feature is quite useful to our organization. We connect with other databases. We connect with Microsoft SQL databases or with Oracle databases, and we connect with SharePoint lists, and we can connect with Outlook email servers as well.

The stability is very good. It hasn't given us any issues.

The scalability has been great.

Technical support is very helpful.

Our IT team has a lot of restrictions. Therefore, we cannot extend all the functions and all the features that Alteryx has, unfortunately. That's due to the fact that the internal restrictions we have are from a security standpoint.

The desktop license is expensive.

The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well. For example, the column size, and items like that should be adjustable.

I've been using the solution for a couple of years. It's been a while.

The solution has been stable so far. It doesn't crash and freeze. There are no bugs or glitches. It's good. The stability of the tool is perfect for us.

We've found the scalability to be quite good. We are connected to big databases, small databases, medium databases, any kind of database. For us, it's great. 

In Latin America, there are about 30 to 40 people on the solution. In North America, probably a couple of hundred people are on the solution, and in Europe probably over 100. In Asia, there are probably around 50 more, and the India teams probably have a little more.

I've not personally used technical support, however, we have a person on our team who is more of an expert on all of the features. Sometimes, if he has questions, he will contact them. We have a very quick response, from what I understand. So far, it's been a good experience and we are satisfied with their level of support.

We have a few hundred office licenses so far.

I haven't compared the solution to other licenses and therefore cannot really specify if it's the most expensive option or not, or if the current pricing is unreasonable. This is the tool our company's IT team selected for us and we can use it if we need it. It's not something I chose. It's something my company provides as a tool from an ETL standpoint.

We don't use all the functionalities due to the restrictions we have inside our network. So far, what we use is enough. We can't extend to use all the functions and all the capabilities the tools have. However, that is because of the unique internal restrictions we have.

We use the solution just as a reporting tool and consolidate information from different systems to create analytics, however, I know that Alteryx has far more extended capabilities than we have explored. We use it as a personal user tool. We don't use it as a company strategy to move databases from one side to another side and make consolidations. We use it on a very small scale.

I'd recommend the solution to others.

I'd rate the solution nine out of ten. We've been largely satisfied with the solution.