  This paper presents an experimental study to compare analysis tools with
management systems for querying and analysing graphs. Our experiment compares
classic graph navigational operations queries where analytics tools and
management systems adopt different execution strategies. Then, our experiment
addresses data science pipelines with clustering and prediction models applied
to graphs. In this kind of experiment, we underline the interest in combining
both approaches and the interest of relying on a parallel execution platform
for executing queries.
