The formalization of GQL should remove a key barrier to graph database adoption. GQL excels in traversing graphs, finding patterns, and locating specific nodes based on relationships, functions other query languages struggle with.
GQL offers a more straightforward segue for those familiar with Cypher or open Cypher. While GQL shares certain similarities with SQL in certain areas like aggregates, its focus on graphs and pattern matching sets it apart.
The collaboration behind ISO-certified GQL includes Neo4j, a prominent company in the graph database realm. Neo4j's own query language, Cypher, adds to the expertise brought to the table.
SQL, focused on tables and sets, contrasts with GQL's graph-centric approach, which emphasizes pattern matching and path expressions. Both have similarities, but GQL is optimized for graph operations.
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