The International Organization for Standardization (ISO) made GQL an official project in 2019, and it was officially published after five years. GQL builds on the solid structure of SQL, and it combines proven features from existing property graph database query languages to create a modern and flexible query language. Graph databases provide high performance for complex data relationships. They are ideal for use cases like fraud detection, recommendation systems, and 360-degree customer views. Some of the better-known property graph database query languages include Cypher from Neo4j, GSQL from TigerGraph, and PGQL from Oracle.
Unfortunately, the lack of a standard promotes vendor lock-in because migrating to a different–and incompatible–technology platform is difficult. Database administrators must be aware of this new standard because it is backed by businesses like Google, IBM, Neo4j, and TigerGraph. Read this article to learn …