Authors: David Lengweiler, Marco Vogt, Heiko Schuldt
Modern information systems generate vast amounts of heterogeneous data, with up to 80% being unstructured or semi-structured. Geospatial data is vital, as it adds location intelligence to traditional data, enabling complex spatial analyses and powering numerous modern applications. Traditional database engines, although optimized for specific data models, often struggle to integrate geospatial data seamlessly, leading to data silos and increased system complexity. While multi-model databases provide a unified approach to diverse data representations, native geospatial support remains a challenge due to varying requirements in storage, indexing, and query semantics. In this paper, we introduce a novel framework for multi-model geospatial data management within the Polypheny ecosystem. Our approach unifies geospatial data and queries across relational, document, and graph models, ensuring consistency in representation and execution. Additionally, we present an interactive visual interface that simplifies complex geospatial queries, fostering seamless integration and user interaction across data models.
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