Which type of data store does not require a spatiotemporal big data store?

The correct choice is the relational data store. This type of data store is commonly used in traditional database environments to manage structured data. A relational data store allows users to organize, query, and retrieve data efficiently without the need for spatiotemporal capabilities that a big data store provides.

In contrast, GeoEvent Server is specifically designed for managing and analyzing real-time data streams—this functionality inherently relies on spatiotemporal analysis capabilities. Thus, the need for a spatiotemporal big data store is a fundamental characteristic of its operation, making it not the ideal answer in this context.

GeoAnalytics Server, while powerful for analyzing large spatial datasets, also requires a spatiotemporal big data store to handle extensive geographic information efficiently. A file geodatabase allows for similar data manipulation but doesn’t incorporate the advanced big data analytics that require a defined spatiotemporal framework.

In summary, the relational data store stands out as it operates effectively without the necessity for a spatiotemporal big data framework, focusing instead on structured data management.