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."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."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"The most valuable feature of this solution is data preparation."
"Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."
"The most valuable feature of Alteryx is the intelligence suite."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"The scheduling within the solution is excellent."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"Compared to other tools, the product works much easier to analyze data without coding."
"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."
"It works fine. I have not had any stability issues; it is always up."
"It scales. I have not run into any challenges where it will not perform."
"Automation is great and this product is very organized."
"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."
"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."
"The solution could improve in the visualization."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"We are hoping that the NLP features will also support Chinese characters."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"I think mapping for geographic data would also be a really great thing to be able to use."
"Customer support is hard to contact."
"The platform's cloud version needs improvements."
"The standard package (personal) is not supported for database connection."
"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."
"Requires more development."
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.