GraphGeeks Podcast
RDF vs LPG: Jesús Barrasa and Dave Bechberger
Jun 7, 2024
Join experts Jesús Barrasa, a seasoned graph data modeler, and Dave Bechberger, a graph database specialist, as they delve into the battle between Resource Description Framework (RDF) and Labelled Property Graphs (LPG). They highlight the strengths and challenges of each model, uncover the significance of semantics and ontologies, and guide listeners on making informed data model choices. To top it off, they explore the exciting future of graph technology, emphasizing its integration with AI and the potential for community growth.
50:11
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Quick takeaways
- RDF uses triples and ontologies for structured data representation, making it ideal for integration across various datasets like finance and healthcare.
- Property graphs offer flexibility with dynamic schemas, making them suitable for complex analyses such as fraud detection and customizing solutions.
Deep dives
Understanding RDF and Property Graphs
RDF (Resource Description Framework) and property graphs represent two primary approaches for managing connected data as graphs. RDF focuses on using triples, which consist of a subject, predicate, and object, and is commonly stored in triple stores with SPARQL as the query language. In contrast, property graphs use nodes and relationships, each capable of holding properties, and are typically queried using languages like GQL. Both models prioritize the structural features of data, enabling different types of analyses, but they diverge significantly in their implementation and terminology.
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