If there is a graph query language that turns out to be the ... because there was another vendor (Oracle) they could compare against for speed and scale, noting they were about 100-times faster.

It uses any of a number of supported back ends—Apache Cassandra, Apache HBase, Google Cloud Bigtable, Oracle BerkeleyDB—to store graph data, supports the Gremlin query language (as well as ...

The next hurdle is query language. Until recently, each graph database provider carried ... as players including Neo4J, TigerGraph, Oracle and others are collaborating on GQL.

Oracle offers a separate Graph Server that integrates with its ... GraphQL engines for users who might want to use that query language. GraphQL, incidentally, was designed to simplify some queries.

GQL is expected to unite multiple versions of graph query languages that are already in the market. Neo4j’s Cypher is the most widely used. Others include TigerGraph’s GSQL, Oracle Corp.’s ...

SQL support for Graph queries directly on OLTP data, and stored procedures in JavaScript,” Juan Loaiza, executive vice president of mission-critical database technologies at Oracle, said in a ...

There is industry, like Neo4j with Cypher and Oracle with the PGQL language, and academia. The property graph researchers in academia have moved on from query languages like XPath for querying ...

Graph databases such as Neo4j are very different from traditional Structured Query Language-based data platforms such as Oracle and Microsoft SQL. Instead of storing data in tables consisting of ...