The graph query language, therefore, should stay close to SQL syntax and concepts as much as possible so that relational SQL developers can learn and implement graph applications with minimal ramp ...

SQL did not arrive at universal adoption overnight. If there is a graph query language that turns out to be the winner, it won't be overnight either.

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

Although SQL will continue to be king of the hill for querying structured data, GQL is expected to be a better fit for queries combining data of different types and from different sources.

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 ...

I'm not experienced in SQL. Finding a collection of cities with the given name, processing the results in a procedural language, and then doing followup queries against those particular cities to ...

Although the migration aid doesn’t fully automate the process, “it gets you 80% there and you can modify it using Graph Studio,” the company’s analytics workbench, Deshpande said.

That's why we're getting SQL Server 2017 approximately 16 months after the release of SQL Server 2016, and we're getting major new functionality like Linux, Python, graph processing, and a slew of ...

Spanner Graph or Spanner in general, according to Google’s vice president of engineering for databases, Andi Gutmans, will now support the graph query language (GQL) and the database will also ...