Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

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 ...

Waii’s core technology for translating natural language questions into complex, production-ready SQL queries to be integrated ...

Graph structures aren’t an alternative to relational tables but a completely different way of representing relationships between data elements. For some query types, they can be orders of ...

I’ve been speaking on the tour about how to run a program of graph adoption that starts small and grows as you get more data in graphs, have more people trained, and are able to unlock the power ...

TinkerPop and its query language, Gremlin, are the lingua franca of graph databases. Now, Neo4j wants to use this as a substrate to expend the reach of its own query language, Cypher.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Graph databases are a type of NoSQL ...

Another common graph query language, Gremlin, was devised for the Apache TinkerPop graph computing framework. Gremlin syntax is similar to that used by some languages’ ORM database access libraries.

While there are several open-source graph query languages that have been widely adopted, such as Cypher, Gremlin, and SPARQL, TigerGraph has a new query language, GSQL. GSQL combines SQL-like ...