Alteryx Reviews

We primarily use the solution for automation, data cleansing, QA, some data science and machine learning software for the company.

The product's Macros probably are one of the most useful aspects. It's obviously useful overall if you just combine all the tools, however, in terms of usability, the Macros really stand out. 

Using the Alteryx scheduler, and the use of Rtools for machine learning is very helpful.

These are all a bit more advanced, in terms of tools, however, they make for a very good user experience.

We've had a lot of issues within the Alteryx Server. It really could be improved.

There are memory management issues in terms of the Mongo database that they manage. There could be a better user interface for the gallery, which is where we automate the workflows. 

Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes. 

I've been using the solution for five years at this point.

The stability is okay. It's good on the designer, however, it could be better on the server.

In terms of scalability, the server is quite scalable, however, the designer is not.

The initial setup was easy, overall. It's easy to use and easy to learn and you don't have to be a data scientist or an engineer to use it. It makes the setup very straightforward, as the overall design is very approachable.

The deployment likely took us about two to three months to set up. It was five years ago now, and therefore it's difficult to recall.

We mostly handled the initial setup ourselves. We didn't hire consultants or integrators.

We're just a customer and end-user. We don't have a business relationship with the company.

We have an Alteryx server, and we also use the desktop version or the designer version on our workspaces, which are hosted on the cloud.

In general, I would rate the solution at an eight out of ten. We've been mostly happy with it, however, there are areas in which is could improve.

We primarily use the solution for data processing and ETL.

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

The solution offers very good data transformation.

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

The scheduling within the solution is excellent. 

The initial setup is straightforward.

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

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

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

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

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

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

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

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

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

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

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

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

I'd rate the solution ten out of ten.

I am the head of investigation on-site, I use the solution every day for merging and other management of records. I also export data to individuals that need the information we store, such as facilitators.

The solution allows us to manage our databases data.

I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access. This is very valuable for us since we have many databases.

The interface could be improved. Currently, when you are looking at the information on the screen it is broken down into three parts of the screen. For example, when doing algorithms and you want to see the results on the screen this is when it gets really difficult to view. However, this is fine visually to work with on a big screen but when you are working with a laptop screen it is not very comfortable. Everything is very small.

You have to know to use it. You have to have some training and it's hard. This could improve.

I have been using the solution for approximately 10 months.

I have not had any issue with the stability of the solution.

Since I only have one license to use the solution it is difficult to know about the potential scalability.

The setup is really easy.

The install took approximately 35 minutes.

The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area.

I would recommend the solution 100%. I really think it is a better platform than competitors.

I rate Alteryx a nine out of ten.

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

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

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

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

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

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

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

I have been using Alteryx for three years.

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

I have never spoken with technical support.

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

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

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

I would rate this solution a five out of ten.

We use Alteryx for aggregating different Excel data and doing general analytics.

Within our company, there are five employees using Alteryx.

It's super easy to learn how to use it — the learning curve is very small.

I honestly can't think of anything that needs to be improved.

I have been using Alteryx for five years.

Alteryx is both scalable and stable.

The technical support is very supportive.

The initial setup was very straightforward.

Our in-house team deployed this solution; it was a quick process.

I don't know much about the licensing, but there are some additional costs for certain features.

I would definitely recommend this solution to other interested companies. The real question is: do you really want people doing self-service analytics?

On a scale from one to ten, I would give Alteryx a rating of eight.

Our primary use case is for ML related and deep learning related things like data cleaning and and then later we work on machine learning. I'm a business analyst and we are customers of Alteryx. 

The modelling features are very good in Alteryx and better than what you'd find in open-source software. Python and R rule the market. Although Alteryx is a paid software, it is equally able to provide better performance without writing a single line of code. That's the USP of the software as such. It's very user friendly. 

There are a few imputation techniques which they really need to include. Things you'd find in Python. And there are advanced techniques coming in every day there. Alteryx needs to update more quickly. There are also a few things from geospatial or updating perspectives that are still better in open-source software than what you find in Alteryx.

I've been using this solution for three years. 

In terms of stability, we haven't had glitches or issues with the software.

I have had contact with technical support in license related things, but it's more community based where you can learn and resolve things if you have hiccups. If there are any issues, the technical support will resolve it for us. We have seven people in the company using this solution. 

The initial setup is not complex. 

I think Alteryx is a good software to work with. It's user-friendly and more accurate than other products in terms of the predictions and modelling.

I would rate this solution an eight out of 10.

We are mainly using Alteryx for data preparation and processing data. 

We are also monitoring for some of our customers, in product analysis, regressions or customer segmentations, and column correlations analysis.

The GUI is simple and it integrates with Python.

For the area in Alteryx, such as the server the prices are high and it would be better to reduce the fees.

Some of the new tools in the intelligence Suite are the Optical Character Recognition (OCR) and the Natural Language Processing (NLP) language for English characters. We are hoping that the NLP features will also support Chinese characters.

We started carrying Alteryx in February of this year, 2020.

Alteryx is a stable product.

This is a very scalable solution. For every organization or company, there are a few data scientists working with Alteryx. For some of the enterprise, they have a team of five working with this solution, whereas others have two.

Community support is good, but I have not yet contacted technical support. I am not able to assess them.

As a Data Scientist Platform, Alteryx is the first platform that we have worked with.

I have worked with IBM and some other vendors from Hong Kong.

The initial setup is easy, straightforward, and simple.

Within hours, I can have the designer up and running.

The price for Alteryx Designer is reasonable but the price of the Alteryx Server for universal collaborations is too expensive.

I am currently doing a comparison between Data IQ and Alteryx.

Most of our clients in Hong Kong are on-premises because they don't want to share the data on the Cloud.

We use several other products because we want a unified platform for our customers.

If you have experience with Excel, macros, or VBA then you have a great foundation to use Alteryx.

I would rate Alteryx an eight out of ten.

We're using the solution primarily to clean up some of our customer CRM data and to integrate it with some of our Salesforce requirements.

The UX (user experience) is quite good on this solution. The UI (user interface) is also excellent.

The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions.

For the most part, the solution is very complete, and there isn't much missing.

The designer license lacks a few features that the server has.

There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high.

I've been using the solution for just over a year at this point. It hasn't been too long.

The stability of the solution is very good. It's reliable. We have not experienced issues like bugs and glitches. It doesn't crash.

Only a small number of people use the solution in our organization. There are about four people on it. They are a mix of engineers, architects, and some data integration specialists.

There is a possibility to scale the solution. For the designer license, it's quite possible. Another server may be required, however.

The technical support has been very good. I'd rate it ten out of ten. We're quite satisfied with the level of service we've been provided. They are helpful.

We did previously use R and Python solutions before we switched to Alteryx. They were okay, but a bit difficult to work with.

Alteryx is easier to set up and implement. It allowed us to also focus on different aspects of the business.

The initial setup is simple. It's very straightforward. I wouldn't describe the implementation as complex.

Deployment takes about an hour if a user is installing the regular application.

The solution does not require maintenance.

In terms of the installation, I had to request the process from IT. However, it was fairly simple. I did the initial implementation of the platform. That said, I did require the help of some of our data scientists. It was all in-house. We didn't require the help of an integrator or consultant.

I don't have any idea how much the solution costs. I don't deal with that aspect of the solution. I do believe the pricing is publicly listed on their website.

We're simply users of the solution. We don't have a professional relationship with Alteryx.

We're currently using the designer license, however, I'm not sure of the exact version I'm currently on right now. I believe it is the latest version.

There's a 14-day free trial for those organizations that would like to try the solution before they commit to anything.

I would recommend the solution, 100%. It basically has everything we need. While we don't have all the features on offer in our particular license, it does have everything we need, and if our needs change, we can always move up to the next tier.

I'd rate the solution nine out of ten.