Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?

Property graph query languages such as GSQL are built on top of SQL, bringing graph pattern matching capabilities to existing frameworks used to store and retrieve data. GSQL, the property graph query ...

TigerGraph’s GSQL (graph structured query language) pattern-matching support enables users to express multi-hop queries in a compact, easy-to-read format.

Why? Because put at its simplest, a common query language could open the doors to graph technology being used more widely in exactly the same way the lingua franca of SQL propelled relational to ...

TigerGraph is releasing an updated version of its signature platform, combining graph pattern matching with real-time deep link analytics -- a unique mix ideal for fraud and money laundering detection ...

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 ...

TigerGraph customers have traditionally written their graph queries using GSQL, a graph-specific variant of SQL. With the new release, TigerGraph is supporting OpenCypher, a graph query language based ...