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."The solution has been stable."
"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."
"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."
"Technical support is very helpful."
"The scheduling feature for the automation is excellent."
"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."
"The most valuable feature of Alteryx is user-friendliness."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"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."
"We have full control of the data handling process."
"It will scale up to anything we need."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"We are using it either for workforce deployment or to improve our operations."
"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."
"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"The data integration component could most likely be improved to increase enterprise scalability."
"Alteryx can improve the model management and deployment processing of large workloads."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"The formula we currently use in Alteryx can be automated."
"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 a few imputation techniques which they really need to include."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"I can say the solution is outdated."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"It's not as user friendly as it could be."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"It is not integrated with Qlik, Tableau, and Power BI."
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 Starburst Enterprise, 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.
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.
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.