A database query language is essential for creating, manipulating and querying data in a graph database, as it allows users to model their data and ask questions about it. The choice of a database query language matters because it can impact the efficiency and effectiveness of data analysis. Graph databases use a variety of query languages, including Cypher, which is designed to be easy-to-learn for developers and business stakeholders alike. Cypher's syntax and semantics are matched to the nature of graph-based problems, making it an ideal choice for tackling connected data challenges. The language also offers various clauses, such as MATCH, RETURN, WHERE, CREATE, and DELETE, that can be used to model and query data. Other graph technologies, including SPARQL and Gremlin, offer alternative querying options, while a vendor-neutral standard, GQL, is being developed to provide a single, unified approach. Understanding the implications of choosing a database query language can help users optimize their data modeling and analysis processes, leading to improved efficiency and effectiveness in resolving data challenges.