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It's always a question of how to separate concerns when using an ecosystem consisting of DB and an engine running some kind of algorithms on top of it. The adv
by underpeak 4y ago
It's always a question of how to separate concerns when using an ecosystem consisting of DB and an engine running some kind of algorithms on top of it.
The advantage of using the same system is a similar API for users, and the opportunity to use identical query language to run both matching queries and analyses like this one in cuGraph. For anyone using graph DBs, this might be relevant, while on the other side, achieving this in a few lines of Python seems like a good deal for typical analysts like you mentioned.