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.
Founding Partner at a tech services company with 1-10 employees
Real User
2019-11-14T23:20:07Z
Nov 14, 2019
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.
Staff Software Engineer at a financial services firm with 10,001+ employees
Real User
2019-11-12T17:29:50Z
Nov 12, 2019
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.
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.
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.
One of the differences is that with Alteryx you can use it as an ETL and analytics tool.
Please connect with me directly if you want to know more.
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.