Compare Orange and SAS Visual Analytics 
Orange vs SAS Visual Analytics
When assessing the two solutions, reviewers found SAS Visual Analytics easier to use. However, Orange is easier to set up and administer. Reviewers also preferred doing business with Orange overall.
- Reviewers felt that SAS Visual Analytics meets the needs of their business better than Orange.
- When comparing quality of ongoing product support, reviewers felt that SAS Visual Analytics is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of SAS Visual Analytics over Orange.
Orange is excellent for the analysis of data and topic modeling techniques. Orange data mining is used for semantic analysis and different word analyses. It is best to take separate analyses for the dataset.
Nothing that I particularly dislike about it.
SAS VA is so easy to use, the drag and drop interface makes it simple to know what you can do. You can see exactly what is created, immediately. And it does all of this so fast!
SAS VA has relatively very less tutorial and walkthroughs available on the internet. So it becomes difficult for a new person to be able to learn and implement the same.
Orange is excellent for the analysis of data and topic modeling techniques. Orange data mining is used for semantic analysis and different word analyses. It is best to take separate analyses for the dataset.
SAS VA is so easy to use, the drag and drop interface makes it simple to know what you can do. You can see exactly what is created, immediately. And it does all of this so fast!
Nothing that I particularly dislike about it.
SAS VA has relatively very less tutorial and walkthroughs available on the internet. So it becomes difficult for a new person to be able to learn and implement the same.
