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The SQL support is done through Spark, so it's not particularly novel – Zeppelin for example supports SQL similarly. We've talked about adding a more general SQL interpreter, though. Happy to hear any suggestions about it!

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Do you know of any generalized SQL interpreter that allows push-downs to the underlying engine where possible, but can also arbitrate compute resources to post-push down operations. Eg: such as merging disparate result-sets or make up for the lack of features from the underlying engines.

Closest thing that comes to mind is something like Apache Drill, which coincidentally also uses Apache Calcite as the SQL interpreter.

Also wondering why I would use this over Zeppelin which can support other interpreters like Flink?

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