We performed a comparison between Alteryx and IBM SPSS Modeler 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."Its initial setup is easy."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"It saves time on a lot projects. "
"The product's Macros probably are one of the most useful aspects."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"Alteryx is a simple and easy-to-use solution."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"We are using it either for workforce deployment or to improve our operations."
"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"It is very scalable for non-technical people."
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."
"Compared to other tools, the product works much easier to analyze data without coding."
"It is pretty scalable."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"The formula we currently use in Alteryx can be automated."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"The solution could work on the BI side of the tool to make it a bit better."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"The interface could be improved."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."
"The platform's cloud version needs improvements."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."
"It's not as user friendly as it could be."
"Requires more development."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews. Alteryx is rated 8.4, while IBM SPSS Modeler 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 Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Amazon QuickSight, whereas IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and SAS Visual Analytics. See our Alteryx vs. IBM SPSS Modeler report.
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There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?"
Of course, there are some general differences, starting with the T.C.O. and functionalities.
Alteryx is a code-free and code-friendly platform that allows you to tackle the whole cycle of your data, starting on the consumption from any source, through a drag and drop interface, very suitable for any user (I really don't see many HHRR's people using SPSS).
Both tackle the predictive modeling very well, while Alteryx allows you to feed several additional AI&ML platforms, like H2O, DataRobot, Thoughspot, MS, Google, Amazon, and even Watson). I'm not sure if SPSS allows you to build and publish models on so many platforms.
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this.
It can handle over 2 billion rows of data in its in-memory engine on a notebook without requiring a server, thus it's cheaper. It has a much better community than IBM that you can get your answers pretty clear and fast if you need it.
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products.
Regarding Alteryx I can say the following:
- An excellent desktop tool for Data Prep and analytics.
- Feature-rich and convenient user interface.
- However, it is implemented in C#, therefore works in MS Windows environment only. Mac or Linux users can’t use it. Interface with Apache Spark implemented via special plugin (do not remember details), which results in 2-hop data transfer. It may negatively affect performance.
I am unfamiliar with the IBM SPSS Modeler but use KNIME and Alteryx for different projects. Alteryx is an excellent, very easy to get started with and get to results data cleansing, ETL, analytics, geospatial modeling, predictive analytics. I build reusable macros in Alteryx, use flexible inputs for what-if modeling, feed information to Power BI or Tableau. It seems price competitive against SPSS.