Since the recent release of the GQL (Graph Query Language) standard by ISO, there have been many discussions among graph database vendors and research institutions on how it will influence the industry. Apparently, its prevalence is backed by the wide applications of graph databases across diverse sectors — from recommendation engines to supply chains, a standard unified language for querying and managing graph databases is needed.

The significance of GQL lies in its ability to replace multiple database-specific query languages with a single, standardized one. This facilitates the interoperability between graph databases and calls for the end of dependence on certain graph database vendors. Moreover, beyond the query language, GQL defines what a graph database should be and what key characteristics it should own are finally standardized, laying a far-reaching influential foundation for the development of the graph database industry. In this article, I will walk you through some important terms of GQL and explore its transformative potential for the industry.

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