Oracle implemented graph capabilities to its main database by adding graph searching functions to its regular SQL query language. Extensions called PGQL (Property Graph Query Language) offer a ...

The gist of what's going on is that we have a war for graph database domination, and query language is a key battle to be won. SQL did not arrive ... they could compare against for speed and ...

Graph databases—like other NoSQL databases—typically use their own custom query methodology instead of SQL. One commonly used graph query language is Cypher, originally developed for the Neo4j ...

Vector databases also allow for the comparison between two points of data to show ... elements for vector/graph database systems under the rules for SQL/PGL (Property Graph Queries), as well as the ...

Dublin, July 14, 2022 (GLOBE NEWSWIRE) -- The "Global Graph Database Market Size, Share & Industry Trends Analysis Report By Type, By Vertical, By Component, By Deployment Type, By Organization ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected ... The perceived complexity of graph query languages compared to SQL poses an additional ...

Understanding with graphs has in many ways been a highly manual process, and not all data scientists have had access to the Cypher graph database query language ... Cypher is a declarative query ...

Learn More Graph databases are playing ... schema languages and graph query languages. The LBDC has also begun collaborating with the ISO working group for the SQL standard. As a result of these ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases.

Aerospike Inc., maker of a highly scalable NoSQL database ... graph database, Aerospike’s offering supports the Gremlin query language rather than Neo4J’s Cypher or TigerGraph’s Graph SQL.