Alteryx Reviews

We use this solution for self-service data preparation from data warehouses and data marts.

It gives the power back to the end-users. It brings flexibility and accuracy to our new analytics.

The most valuable feature of this solution is data preparation.

Alteryx Connect (data catalog) is also really important for us.

The event handling, such that the file system watcher, is in need of improvement.

Data blending and complex data manipulation and augmentation.

• Fast return on investment
• Increased data analytics productivity.

Workflows and a large number of tools were a quick QA methodology and rapid prototype creation tool.

More emphasis on extensible R and data augmentation interface design.

ETL.

Fast data processing and cleaning.

Crosstab and transpose.

Add inbuilt interactive visualization in Alteryx.

It collects data and manipulation and some Geo-spacial mapping.

It provides opportunities to do some pretty complex tasks easily, without having to worry about the Java. The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy.

I think better visualization would be helpful. In terms of data extraction, during the sequel queries of servers as an example, you can structure your sequel query and it's fine, very readable, but once you run it, it crashes into one complex single line, and makes it very difficult. Then you you almost have to go back to management studio, and run it through management studio and put it through restructuring, and it just seems to me that that's not very user friendly.

It is a very stable solution.

For our purposes, the scalability is fine. But, I think that scaling it for a big enterprise would probably be an expensive endeavor.

I would rate the tech support a 7.5 out of 10.  They do not necessarily provide lots of hands on support themselves, instead they farm it out to partners and forums. 

The learning curve for implementation was a bit steep. You pretty much have to teach yourself as you are setting up the solution. Once you do that, you are OK.

It is a little bit pricey. The desktop version is cheaper, it is on a one year license. And, if you want to do anything on an enterprise name it is quite expensive. The current pricing model may get to be too much in three to four years time.

We also considered DataBricks.

I would advise that you should ask yourself what you need and want, and do a one-month trial.

I implemented Alteryx for a logistics company. 

It helps clean messy data and provides spatial analysis.

We create workflows to automate central reporting and visualize data directly in Tableau. 

We use Alteryx everyday. Using the product, we earn a lot of time, which is used to do other tasks.

Multicategories exist in Alteryx: These categories are flexible and answer a lot of controlling rules.

• Alteryx could be improved in the area of analytics and central governance. 
• The next feature release should include easier reporting. 
• Improvement in the coexistence of In-Database, Python and R tools.

• Data integration
• Automation
• Data analytics

It saves time on a lot projects.

The analytics are easy.

In the database, it should be more functional and connect to more big data, especially using IPI.

It handles multiple large data sources, and prepping/manipulating the feed to the Live dashboards for internal and external distribution.

It allows for manipulation and automation, which has greatly reduced the amount of time required per project.

Geo features have made spatial mapping large retail universes possible. The basic package of manipulation tools are the tools that my team use the most. It makes lengthy Excel processes seamless and lighting quick in comparison.

A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic. Also, when a process completes there is a notification, but the notification does not include the process's name.

We can now provide a single source of truth and build a bigger picture.

The data preparation. We have high reporting needs and the data is stored in many different tools. We are moving to predictive analysis too. Still, we need an easy to deploy solution until the IT department finds a better solution to connect all data sources.

The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user.

No stability issues.

No scalability issues, if it is accompanied with centralization or the organization has a strong top-down culture.

I would rate tech support five out of five. The team is willing to work with you and help with any difficulties.

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.

The seat is too expensive.

I am using the desktop version. The only issue is it supports only a 64-bit system so I have to use an earlier version.

My advice to regarding this product is to keep learning and not rely too much on the support team.