Re:What Is a Knowledge Graph?
by whakim on Friday August 16, 2024 @08:10PM
(#41271447)
While I'm all for standards-based options, I think the fetishization does a disservice to anyone dipping their toes into graph databases for the first time. For someone with no prior experience, Cypher is everywhere and implements a ton of common graph algorithms which are huge pain points. AuraDB provides an enterprise-level fully-managed offering which is table stakes for, say, relational databases. Obviously the author has a bias, but the overarching difference between Neo4J and a Triple Store solution is that the former is more flexible; that plays out in their downplaying of ontologies (which are important for keeping data manageable but are also hard to decide and iterate on).
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I can attest to that, or at least to the inverse situation. We have a giant data pile that would fit well onto a knowledge graph, and we have a lot of potential use cases for graph queries. But whenever I try to get started, I end up with a bunch of different technologies that seem so foreign to everything else we’re using, it’s really tough to get into. I can’t seem to wrap my head around SPARQL, Gremlin/TinkerPop has lots of documentation that never quite answers my questions, and the whole Neo4J ecosystem seems mostly a sales funnel for their paid offerings.
Do you by chance have any recommendations?