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We'll know what we node, we'll grok what we've graphed: Neo4j nails graph machine learning to data science workbench

Robert Grant Silver badge

but very frequently it is two or more databases for a particular project

Very very frequently it's Postgres. Occasionally it's Neo4J, if you have loads of self-referential data you need to traverse more than 5 levels deep to be faster than Postgres. According to a benchmark I read once that I can't find now.

Their visualiser is neat, though. Good for exploratory stuff.

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