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."The solution offers excellent predicting power. The accuracy and confidence have been great."
"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."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"I like that I can merge data from different sources into one place."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"The GUI is simple and it integrates with Python."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"Most of the product features are good but I particularly like the linear regression analysis."
"in terms of the simplicity, I think the SPSS basic can handle it."
"IBM SPSS Statistics depends on AI."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"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."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"There are a few imputation techniques which they really need to include."
"It is a little bit pricey."
"If there is any way to make the learning curve less steep, that would be ideal."
"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."
"I'd like it to be easier to work with PDF."
"Deep learning models are not currently supported."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"The principal problem is the pricing. They're expensive products."
"The design of the experience can be improved."
"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."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"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 solution needs more planning tools and capabilities."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
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, Dataiku, Databricks, RapidMiner and SAS Enterprise Guide, whereas IBM SPSS Statistics is most compared with TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Weka 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.