23 karma · joined March 18, 2019
You can despise the fringe academic research, but how do you explain Knowledge Graph use by FAANG (including powering Alexa and Siri) as well as a number of Fortune 500 companies? Here are the companies looking for SPARQL (RDF query language) developers: http://sparql.club
Don't mix the WS-* trash with XPath/XSLT -- still the only standard data transformation technology. Last I check the JSON folks were still trying to reinvent XML schema? The JSON stack has nothing on XML in terms of maturity and features.
Where is my LOL GIF :D
RDF Knowledge Graphs used by: Elsevier, Bloomberg, Thomson Reuters/Refinitiv, Uber, Zalando, Microsoft, Apple, Amazon, HSBC... do I need to continue?
If you mean "mainstream developer" adoption, that is a poor and irrelevant indicator, because mainstream is not where the innovation happens.
Show me a definition of a "general graph model"? Nothing shows up on Wikipedia.
There is on the other hand a directed graph model: https://en.wikipedia.org/wiki/Directed_graph This is exactly what RDF is, with labeled vertices and edges.
RDF solves a much larger problem than just graph data model and query. It addresses data interchange on the web scale, using URIs, zero-cost merge, Linked Data etc.
Also schema is optional in graph DBs, which gives them flexibility.
And in the case of RDF, global identifiers (URIs) and zero-cost dataset merge operation make it a unique fit for data interchange. It’s the only data model designed to be web-native.
They have a healthy ecosystem of both open-source and commercial software, and unlike property graphs were designed with data interchange in mind from the outset.
SPARQL was the first and still is the only standard NoSQL query language.