"The scheduling feature for the automation is excellent."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"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."
"Technical support is very helpful."
"All of the data science features in terms of unioning and joining data together are valuable."
"The support is very good."
"I like the fact that you can easily blend data from different platforms."
"It's super easy to learn how to use it — the learning curve is very small."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"Automation is great and this product is very organized."
"Very good data aggregation."
"It is a great product for running statistical analysis."
"The supervised models are valuable. It is also very organized and easy to use."
"I honestly can't think of anything that needs to be improved."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"Even when it already includes some AI models, this area could be improved."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"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."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"There are no ready models to use in analytics."
"We are hoping that the NLP features will also support Chinese characters."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"Dimension reduction should be classified separately."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"It would be good if IBM added help resources to the interface."
"Requires more development."
Alteryx is ranked 1st in Data Science Platforms with 29 reviews while IBM SPSS Modeler is ranked 7th in Data Science Platforms with 5 reviews. Alteryx is rated 8.2, while IBM SPSS Modeler is rated 8.4. The top reviewer of Alteryx writes "Efficient, with great automation capabilities but technical support is not as good as it once was". On the other hand, the top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, SAS Enterprise Guide and DataRobot, whereas IBM SPSS Modeler is most compared with IBM Watson Studio, KNIME, IBM SPSS Statistics, Microsoft BI and Microsoft Azure Machine Learning Studio. See our Alteryx vs. IBM SPSS Modeler report.
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