As the volume of time-stamped and location-based data grows, traditional databases often struggle to process and query such specialized data efficiently. Time-series databases and spatial databases are designed to address this challenge.

Time-series databases handle temporal data with optimized indexing and querying for time-stamped events, while spatial databases are tailored for geospatial data, supporting queries about locations and spatial relationships.