Preface
Over the past several decades, the world of data has evolved dramatically—from the structured era of relational databases to the expansive realms of big data and fast data. Today, we are entering a new phase: the age of deep and connected data. As data volumes grow and analytics become increasingly interdependent, traditional database systems are being reimagined. Graph technology has emerged as a powerful solution, offering new possibilities for modeling and querying complex relationships.
Before the standardization of Graph Query Language (GQL), the graph database landscape was fragmented. Popular query languages such as Cypher (Neo4j), Gremlin (Apache TinkerPop), GSQL (TigerGraph), UQL (Ultipa), and AQL (ArangoDB) each introduced ...
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