We performed a comparison between Alteryx and IBM SPSS Statistics based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"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 is a simple and easy-to-use solution."
"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"I like that I can merge data from different sources into one place."
"It saves time on a lot projects. "
"The cloud deployment ensures it scales easily."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"SPSS is quite robust and quicker in terms of providing you the output."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"It offers very good visualization."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"The price of the solution could improve by being lower."
"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."
"It would be great if Alteryx could take third party tools and incorporate them."
"Even when it already includes some AI models, this area could be improved."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"Its most valuable feature lies in its functionality."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"If there is any way to make the learning curve less steep, that would be ideal."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"I think the visualization and charting should be changed and made easier and more effective."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews. Alteryx is rated 8.4, while IBM SPSS Statistics is rated 8.0. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Alteryx is most compared with KNIME, Databricks, Dataiku, RapidMiner and Anaplan, whereas IBM SPSS Statistics is most compared with TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka, IBM SPSS Modeler and Oracle Advanced Analytics. See our Alteryx vs. IBM SPSS Statistics report.
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Alteryx Definitely. SPSS is an old product et very outdated as compared to the new tools such as Alteryx or Knime.