Abstract
Graphs allow to represent many cases from the real world, for instance ontologies, social networking or chemical databases. Graph databases, and especially NoSQL graph databases (e.g., Neo4j) have been designed to deal with such data. This new generation of databases focuses on relations rather than on the objects themselves. NoSQL graph databases provide efficient tools to implement robust solutions against big data. In such databases, managing historical data may be important in order to store and analyze evolutions and to understand how relations within and between graph entities evolve.