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For things that can reasonably be done with RDBMS, probably not... see "Do we need specialized graph databases? Benchmarking real-time social networking applications" (PDF link https://event.cwi.nl/grades/2017/12-Apaci.pdf)

But it seems likely that for queries that differentiate graph databases, such as finding long, variable-length paths, that there are cases where they can excel.

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I found the same. If you live in a very specific use case they excel.

I work with large amounts of geographic data. We use Cassandra and RDBMS as the traditional storage but whenever we want to do network analysis it goes into graph DB just to take advantage of the tooling.

And one of our use cases is exactly what you mention. If you are interested in the properties of the edges of long highways in a road network that can stretch hundreds of edges, for instance, RDBMS ain’t gonna cut it.

thanks for that link!

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