Alteryx Reviews

I primarily use Alteryx for connecting to various data sources, data transformation and modeling, and preparing reports or extracts or data that we can visualize in other tools.

The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts. Alteryx's versatility and ability to graphically present workflows of data are also excellent features.

Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud. You have to push the model into the cloud from your local machine, which is a pain compared to other tools like DataIQ, which you can develop fully from scratch in the cloud.

I've been using Alteryx for two-and-a-half years.

We had some issues with deployability and scalability because we had to develop on our own machines and then push the workflow into the cloud, which caused issues with updates that caused functionality misalignments. Ideally, you'd be able to develop and run production applications in the same environment or platform, i.e. the cloud.

I previously used DataIQ, which is a similar product but is fully in the cloud. I was pretty impressed by it and would probably rate it higher than Alteryx.

The initial setup is quite straightforward, I would rate it four out of five.

We used a central support team from Vodafone Group.

Alteryx isn't extortionately expensive, but it's not cheap either. I'd rate its pricing as three out of five.

I would recommend trying a few different tools to see which one exactly fits your use case before deciding on Alteryx. I'd rate Alteryx as eight out of ten.

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.

• One-stop shop for data preparation, blending, prediction, and optimization in a single workflow.
• In-database analytics native to SQL Server, Oracle, Teradata, and SAP HANA
• Spatial tools for geographic analysis and data enrichment

We provided the whole consulting delivery on a single tool with reporting and automated PowerPoint presentations.

• GPU or multi-core CPU utilization
• WYSIWYG reporting with interactive filters and graphics
• Mobile integration: Triggers analytic apps through mobile phone and gets results interactively.
• More statistics tools: We can use to compare SPSS statistics with some automated advisory.

We have been using this solution since 2014.

There were no deployment issues, and it went pretty fast. You sometimes need a license file if you are behind a firewall.

When the workflows are huge and complex, it may take some time to refresh it.

There were no issues with scalability.

Customer service is pretty responsive, based on the UK and US time zones.

Technical support is pretty responsive and knowledgeable. The community support is exceptional, too. It is a very crowded community with lots of practical solutions.

• SPSS modeler: Not easy to prep features. It needs data enrichment using spatial features. Deployment is not straightforward.
• SAS Analytics, EG, EM, DataFlux forecasting: Very expensive solutions with steep learning curves
  

The setup was simple. It was pretty much "next, next, and next".

We did the implementation in-house.

With a $5K USD designer tool, we already did some big data. There were lots of fruitful projects. I would estimate a six of seven times ROI in a few months.

A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources.

The server is a big bet and you need at least 10-15 people with designers or 60-70 people for the continuous use of analytic apps. Otherwise, it's too early to scale up and out.

• KNIME: A modeling tool not easy to learn, track/audit, or deploy quickly.
• RapidMiner: Good analytics capabilities, deep learning. However, not good for ETL, data quality, or spatial enrichment.
• SAS: Extremely expensive, archaic, and no need to take the risk.
• SPSS modeler: Second best for modeling, but not enough spatial. It is hard to deploy and has a lack of vision.

This solution has a very bold vision.

We use the solution for its customer segmentation feature.

The solution works efficiently in handling a huge amount of data.

They should improve the solution's pricing.

We have been using the solution for two and a half years.

It is quite a stable solution. I rate its stability as a nine.

We have six users of the solution, including engineers and data scientists. I rate its scalability as a seven.

The solution's initial setup is time-consuming but easy to process.

We installed the solution with the help of our in-house team.

The solution is expensive. We have purchased its yearly license.

I evaluated Spark for its functions. In comparison, Alteryx manages massive data more smoothly. 

The solution requires three executives for the maintenance. I recommend it and rate it as an eight.

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

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

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

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

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

Alteryx is stable. 

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

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

Setting up Alteryx is straightforward.

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

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

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.

I use the solution to build an ETL workflow.

The ease of use is the solution's most valuable feature. It doesn't require coding for usage. I only have to drop and drag the available options to perform complicated functions.

They should make the solution user-friendly for nontechnical people by giving specific names to the options. That will be helpful for them to understand.

I have been using the solution for six months.

I rate the solution's stability as a ten.

It is a scalable solution. We are two users who created a workflow using it. We use it once a month or two.

I rate the solution's pricing as a ten, as it is highly priced.

I rate the solution as a nine.

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.