FQL enables you to use a SQL-style interface to query the data exposed by the Graph API. Such structures can be easily encoded into the graph model as edges. This query would return the city of residence of each person in the graph with residential information, and, if an EU national, which country they come from. Cypher is a declarative graph query language that allows for expressive and efficient data querying in a property graph.. Cypher was largely an invention of Andrés Taylor while working for Neo4j, Inc. (formerly Neo Technology) in 2011. One language, one skill set. "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 2016The GQL project is led by Stefan Plantikow (who was the first lead engineer of GQL is a query language specifically for property graphs. The GQL project has a four-year timespan. Queries are therefore able to first project a sub-graph of the graph input into the query, and then extract the data values associated with that subgraph. In preparatory discussions within WG3 surveys of the historyPrior work by WG3 and SC32 mirror bodies, particularly in Cypher allows creation, reading, updating and deleting of graph elements, and is a language that can therefore be used for analytics engines and transactional databases. Data values can also be processed by functions, including aggregation functions, leading to the projection of computed values which render the information held in the projected graph in various ways. The graph data model has been drawing attention for its unique advantages. This scenario makes it possible to create standard queries as shared queries and reuse them. In September 2019 a proposal for a project to create a new standard graph "Using graph as a fundamental representation for data modeling is an emerging approach in data management. Following the lead of G-CORE and Morpheus, GQL aims to project the sub-graphs defined by matching patterns (and graphs then computed over those sub-graphs) as new graphs to be returned by a query. Das hat die International Organization for Standardization (ISO) beschlossen. View data as a graph, discover insights, unlock endless querying possibilities.PGQL is a graph query language built on top of SQL, bringing graph pattern matching capabilities to existing SQL users as well as to new users who are interested in graph technology but who do not have an SQL background.PGQL deeply integrates graph pattern matching with subquery capabilities so that vertices and edges that are matched in one query can be passed into another query for continued joining or pattern matching. The RDF model has been standardized by W3C in a number of specifications. With Oracle Database 19c, in the cloud and on premises, it powers applications from GIS and location services to fraud detection, social networks, linked data and knowledge management. Values of properties cannot be elements of graphs, nor can they be whole graphs: these restrictions intentionally force a clean separation between the topology of a graph, and the attributes carrying data values in the context of a graph topology. Seven national standards bodies (those of the United States, China, Korea, the Netherlands, the United Kingdom, Denmark and Sweden) have nominated national subject-matter experts to work on the project, which is conducted by Working Group 3 (Database Languages) of ISO/IEC JTC 1's Subcommittee 32 (Data Management and Interchange), usually abbreviated as The GQL project draws on multiple sources or inputs, notably existing industrial languages and a new section of the SQL standard. GSQL has developed new features since its release in September 2017These features have been proposed as inputs to the standardization of property graph query languages in the GQL project.