New databases are emerging ... to elaborate transformations that go well beyond what is possible with SQL. Graph Query Language, or GQL, is a proposed standard that merges similar declarative ...

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 ...

Anyone who's ever tried to build distributed applications (dApps) on the (Ethereum) blockchain would concur: Although blockchains are conceptually quite close to databases, querying databases ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a ...

Yet those fluent in SQL needn’t feel left out; graph database query languages such as GSQL are SQL-adjacent languages augmented with graph capabilities. Significantly, the emphasis on ...

Graph databases are optimized to handle queries that can follow multiple hops ... Microsoft added special node and edge tables to SQL Server to make it simpler to execute more complicated searches.

The former means that graph deployments around the globe can now scale up in a better way, while the latter means that users can speed up the database performance for specific queries. Last but ...

The graph database industry has been hampered by ... GQL can return a result of a single query whereas SQL would require at least three queries and a lot of manual sorting. Rathle drew an analogy ...

the standard language used to query semantic graph databases, has inherited from the standard SQL query language). The result is minimal outsourcing or consultancy because organizations can leverage ...