Database system comparison based on spatiotemporal functionality
Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Μάρα Νικολαϊδου, José Antônio Fernandes de Macêdo · 2019
The amount of sources and sheer volumes of spatiotemporal data have met an unprecedented growth during the last decade. As a consequence, a rapidly increasing number of applications are seeking to generate value by crunching those data. The development of a system that will tap into the potential value of the spatiotemporal big data analysis for a multitude of applications remains one of the biggest challenges in computer engineering. This paper delves into the key-characteristics of the most prominent suchlike systems. In particular, it provides a thorough analysis of NoSQL datastores as well as a traditional relational database system in terms of their geospatial querying capabilities.