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."Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The three data signs and data engineering are great features."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The GUI is simple and it integrates with Python."
"It helps clean messy data and provides spatial analysis."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"Its initial setup is easy."
"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."
"It is a modeling tool with helpful automation."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"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."
"You can quickly build models because it does the work for you."
"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 screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"The solution could work on the BI side of the tool to make it a bit better."
"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 mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"There are no ready models to use in analytics."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"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."
"It could provide even more in the way of automation as there are many opportunities."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"The solution needs to improve forecasting using time series analysis."
"The design of the experience can be improved."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"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 8th 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 Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Weka and Google Cloud Datalab. 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.