Glake, DanielPanse, FabianRitter, NorbertClemen, ThomasLenfers, UlfiaKai-Uwe SattlerMelanie HerschelWolfgang Lehner2021-03-162021-03-162021978-3-88579-705-0https://dl.gi.de/handle/20.500.12116/35806Multi-agent simulations are an upcoming trend to deal with the urgent need to predict complex situations as they arise in many real-life areas, such as disaster or traffic management. Such simulations require large amounts of heterogeneous data ranging from spatio-temporal to standard object properties. This and the increasing demand for large scale and real-time simulations pose many challenges for data management. In this paper, we present the architecture of a typical agent-based simulation system, describe several data management challenges that arise in such a data ecosystem, and discuss their current solutions within our multi-agent simulation system MARS.enMulti-agent simulationsSpatio-temporal dataPolyglot data management10.18420/btw2021-221617-5468