I read that Oz programming language was designed to be a multi paradigm programming language. The motivation was you can write different styles of programs in a single language, so don't need to learn several languages for each paradigm. I also read comments saying Oz was never used outside of Lab. Personally, I don't think a language can be strong on every paradigm.
Greatly improved generality of language is possible, but I don't think Oz provides it. See "Inexcusable Complexity for 40 Years" at http://users.rcn.com/eslowry . The first step is to end the dichotomy between languages with rich data structure and those with simple plural expressions. It requires flexible data building blocks with connections that allow for a common process for iterating through sets.
SAS has recently recognized that many data scientists/statisticians like the ease with which data can be manipulated in SAS but prefer R packages for statistical analysis. They've launched SAS Viya which allows one to use R packages within SAS. I've even had SAS sponsored R training at SAS conferences. Might not be the ultimate solution but is certainly a step in the right direction. You can google SAS Viya for a more detailed explanation.
@Edward Lowry Thanks for your answer, I will check the source you suggested.
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