The management of infrastructure asset information in smart cities has evolved over time by leveraging current advanced technologies to improve and enhance the performance, sustainability, and longevity of physical assets. Central to this transformation are effective data management and data analytics that are facilitated by graph databases and their integration with GIS technologies. This paper seeks to analyse the role of graph databases, coupled with GIS technologies, in uncovering the value of interconnected information within physical assets to facilitate better decision-making in smart city environments. Graph databases excel in managing interconnected data, thus, excel in modelling complex relationships of information in smart city assets to enable dynamic data management and efficient analysis. This chapter delves into the use cases of graph databases in asset management for planning, navigation, infrastructure management, and data management in the context of smart cities. Furthermore, the role of GIS technology, particularly 3D city models and network analysis, has been elucidated to explore its role, particularly in indoor navigation and route planning. Case studies are investigated to demonstrate the practical benefits and challenges of implementing graph databases in smart city applications. The key aspects that need to be considered when implementing a 3D city model into a graph database are delineated towards the end of this paper. This paper provides insights into the graph database solution to support the ever-increasing complexity of urban information in an effort towards sustainable smart cities.