This question is on capability comparison on parameter - Machine learning or data science objects and functionalities, between paid software as SAS Eminer or Rapid Eminer VS free shipped orchestration tool Orange shipped with Anaconda.

I understand as a paid and enterprise software, SAS might be providing multiple connectors and extensions to connect to various data sources, but if we talk about core functionalities can some experienced professional give some key points.

My current knowledge on both platform says that both types are shipped with multiple toy data sources like wine or employee database and also shipped with various algorithms connectors like decision trees or neural networks. So what would be compelling reason for any professional or company to go for a heavily paid tool over much capable Orange?


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