  Object-centric process mining provides a set of techniques for the analysis
of event data where events are associated to several objects. To store
Object-centric Event Logs (OCELs), the JSON-OCEL and JSON-XML formats have been
recently proposed. However, the proposed implementations of the OCEL are
file-based. This means that the entire file needs to be parsed in order to
apply process mining techniques, such as the discovery of object-centric
process models. In this paper, we propose a database storage for the OCEL
format using the MongoDB document database. Since documents in MongoDB are
equivalent to JSON objects, the current JSON implementation of the standard
could be translated straightforwardly in a series of MongoDB collections.
