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For example, a pattern MATCH (p:Person)-[:LIVES_IN]->(c:City) will generate a two-column output table. The first column named p will contain references to nodes with a label Person . The second column named c will contain references to nodes with a label City , denoting the city where the person lives.
Cypher is a declarative graph query language that allows for expressive and efficient data querying in a property graph. [1]Cypher was largely an invention of Andrés Taylor while working for Neo4j, Inc. (formerly Neo Technology) in 2011. [2]
Gremlin is a graph traversal language and virtual machine developed by Apache TinkerPop of the Apache Software Foundation.Gremlin works for both OLTP-based graph databases as well as OLAP-based graph processors.
GraphQL is a data query and manipulation language that allows specifying what data is to be retrieved ("declarative data fetching") or modified. A GraphQL server can process a client query using data from separate sources and present the results in a unified graph. [2] The language is not tied to any specific database or storage engine.
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 [49] SPARQL: a query language for RDF databases that can retrieve and manipulate data stored in RDF format
Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL . [ 1 ] It is the first graphical query language, using visual tables where the user would enter commands, example elements and conditions.
A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. [1] A well known example is the Structured Query Language (SQL).
SPARQL allows for a query to consist of triple patterns, conjunctions, disjunctions, and optional patterns. [8] Implementations for multiple programming languages exist. [9] There exist tools that allow one to connect and semi-automatically construct a SPARQL query for a SPARQL endpoint, for example ViziQuer. [10]