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."You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The cloud deployment ensures it scales easily."
"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."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"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."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"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."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"in terms of the simplicity, I think the SPSS basic can handle it."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"The solution could improve in the visualization."
"If there is any way to make the learning curve less steep, that would be ideal."
"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."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"The statistics should be more self-explanatory with detailed automated reports."
"There is a learning curve; it's not very steep, but there is one."
"The solution needs more planning tools and capabilities."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"The reports could be better."
"I think the visualization and charting should be changed and made easier and more effective."
"The design of the experience can be improved."
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 Data Science Studio, 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.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
Alteryx Definitely. SPSS is an old product et very outdated as compared to the new tools such as Alteryx or Knime.