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GraphQL is a data query and manipulation language for APIs that allows a client to specify what data it needs ("declarative data fetching"). A GraphQL server can fetch data from separate sources for a single client query and present the results in a unified graph . [ 2 ]
GraphQL: an open-source data query and manipulation language for APIs. Dgraph implements modified GraphQL language called DQL (formerly GraphQL+-) Gremlin: a graph programming language that is a part of Apache TinkerPop open-source project [46] SPARQL: a query language for RDF databases that can retrieve and manipulate data stored in RDF format
The GQL project is the culmination of converging initiatives dating back to 2016, particularly a private proposal from Neo4j to other database vendors in July 2016, [1] and a proposal from Oracle technical staff within the ISO/IEC JTC 1 standards process later that year.
GraphQL is a data query language developed by Facebook as an alternate to REST and ad-hoc webservice architectures. HTSQL is a query language that translates HTTP queries to SQL; ISBL is a query language for PRTV, one of the earliest relational database management systems;
GraphQL, open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing data; See also. Query language
GraphQL is a specific query and API language. It is the focus of tailored testing techniques. It is the focus of tailored testing techniques. Search-based test generation yields good results to generate test cases for GraphQL APIs.
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Graph query languages, such as Cypher Query Language, GraphQL, and Gremlin, are designed to query graph databases, of which RDF data stores are an example. [13] The Topic Map Query Language (TMQL) [14] is a query language for topic maps, a data representation similar to but more general than RDF.