I have used Knime previously.

KNIME is one of the tools I'm familiar with. It's an open-source tool, you know. However, the distinction I observe between Alteryx and KNIME is that Alteryx is like to an iPhone, providing a more secure and protected environment. This is unlike KNIME, which can be compared to an Android. This differentiation is why I advocated for my team and organization to adopt Alteryx over KNIME, irrespective of cost savings or other considerations.

Alteryx is indeed more secure than KNIME. KNIME, on the other hand, is essentially an open solution.

So, when it comes to ETL tools, Alteryx stands out as a more secure solution compared to others.

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

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

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 did not use a different solution but we are planning to use Google Cloud Platform.

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.

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.  

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.  

We've been testing RapidMiner for quite some time. We wanted to have another option in pipeline if there happen to be any stability issues and budget issues happening or if the cost of Alteryx becomes an issue. However, in terms of RapidMiner, we have not fully used it for multiple reasons.

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.

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.

• 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
  

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.

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

I used several ETL tools, but none had the scope of Alteryx nor the ability to perform the analysis itself.

I previously used other solutions but they were not as good as Alteryx. We switched because of the scalability, ease of use, community, and workflow.

I used SQL previously, but it was not very good for quick and dirty analysis. So, I switched to Alteryx.

We did not use another solution prior to this one.

I've been using Alteryx for all my data scientist projects up until recently. However, now I'm shifting to Dataiku, which my organization is offering instead.

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

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.

I did not previously use a different solution.

I have used Knime and Trifecta previously.

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.

We use several solutions for our clients. The two main ones are Alteryx and KNIME. Probably 90% use Alteryx and 10% KNIME. 

I've worked with other solutions such as Knime, among others, however, in a corporate environment, I've only worked with Alteryx.

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

We previously used Informatica. The position of Alteryx is not only ETL, and we need to do more than just ETL, so we switched.

We have worked with RapidMiner in the past. I am also familiar with a few other solutions that came to me. We are also exploring a partnership with DataRobot. There are a lot of overlaps between products. We have also used a few analytics products.

We were using Oracle BI, and we are still using it. The value add of Alteryx is the agility for making changes, and speed of deployment.

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.

I have not personally used any different solution. 

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.

I did not previously use a different solution. I used to copy and paste and convert data.

Previously, we were using Microsoft System Servers. Alteryx has a more user-friendly interface allowing more non-users to use it.

Different ETL tools (SSIS, Talend). We switched for ease of use and a wide range of features.