Graph query languages excel at modeling intricate ... As lakehouse architecture matures, enabling enterprises to aggregate all their data in one place, the potential to extract meaningful insights ...

Some key supply-chain planning queries at JLR now take 45 minutes ... customers purchased what can be improved by a graph database, which can aggregate and reconcile all associated customer ...

The Graph does something different: it lets blockchains be, but offers a way to index and query data stored on them efficiently using GraphQL. Actually, performance is only part of the issue with ...

These graph structures most likely will not be optimal for handling queries doing millions of joins across ALL ... In many circumstances, both transactional needs and aggregate needs can be handled ...

The second step is to use an LLM as an intermediate layer to take natural language text inputs and create queries on the graph to return knowledge. The creation and search queries can be ...

Unlike SQL databases, which can require complex queries to extract conclusions from data, graph databases execute queries more efficiently, and their advantage over SQL databases increases with ...