Internet of Things (IoT) is a network where several and various interconnected, smart objects continuously generate a large amount of data transmitted over Internet. Several efforts and research works in IoT focused on hardware constraints, lowcost, application design, as well as good communication technologies. However, due to the intrinsic characteristics of diversity, heterogeneity, large-scale, dynamic and large volume of data generated and various IoT applications needs, using traditional database management mechanisms and analytics architectures is not generally suitable. Then, it is challenging to provide efficient IoT data storage and query processing mechanisms for satisfying IoT application needs. This paper identifies the main specifications and mechanisms of data and query management for IoT and classifies them. Moreover, this work presents advances on data and query management mechanisms on IoT, shows their advantages and limits and discusses the challenging open research issues that need to be addressed for providing guidelines for further contributions.