The Great DB debate: SQL extensions won't solve the graph problem
I welcome the House's return to this debate. It could be pointed out that the delay is somewhat convenient since my opponent has been able to wait for a paper at CIDR 2023 about graph analytics, a close cousin of graph databases.
Still, the house's peculiar conflation of graph databases and static graph analytics strengthens my point that. In fact, Neo4j has had a similar graph analytics system in production use since 2020. It is unfortunate that it wasn't used for comparison in the CWI paper, as pitting a graph database against a graph compute module for a compute benchmark is not good science.
When it comes to APIs, SQL has been able to subsume other data models over the years, but GQL is the pending standard for graphs. GQL is overseen by the same ISO committee that delivered SQL. If SQL extensions were enough to solve the graph problem, I would trust this committee to halt its work. Instead, a learned body has decided graphs are different enough to warrant a full query language, not only an expedient stop-gap in the form of SQL/PGQL.
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