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SPARQL (pronounced "sparkle", a recursive acronym [2] for SPARQL Protocol and RDF Query Language) is an RDF query language—that is, a semantic query language for databases—able to retrieve and manipulate data stored in Resource Description Framework (RDF) format.
G-CORE is a research language designed by a group of academic and industrial researchers and language designers which draws on features of Cypher, PGQL and SPARQL. [ 37 ] [ 38 ] The project was conducted under the auspices of the Linked Data Benchmark Council (LDBC), starting with the formation of a Graph Query Language task force in late 2015 ...
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 ]
SPARQL is an extension of RDQL that supports extraction of RDF subgraphs. In 2008, SPARQL 1.0 became a W3C recommendation [8] and SPARQL 1.1 became a W3C recommendation in 2013. [9] The RQL family of languages includes RQL, SeRQL, and eRQL. [5] These languages support querying of both data and schema.
1.4.0.0: 2024-11-06 [22] Proprietary: Not disclosed: Amazon Neptune is a fully managed graph database by Amazon.com. It is used as a web service, and is part of Amazon Web Services. Supports popular graph models property graph and W3C's RDF, and their respective query languages Apache TinkerPop, Gremlin, SPARQL, and openCypher. AnzoGraph DB: 2. ...
List of SPARQL implementations available for querying and manipulating RDF data.
Gremlin supports declarative graph pattern matching similar to SPARQL. For instance, the following query below uses Gremlin's match()-step. What 80's action movies do 30-something programmers like? Group count the movies by their name and sort the group count map in decreasing order by value. Clip the map to the top 10 and emit the map entries.
It is used for embedded analytics that require graph algorithms, graph views, named queries, aggregates, geospatial, built-in data science functions, data warehouse-style BI and reporting functions. It allows users to load and query RDF data using SPARQL or Cypher for OLAP-style analytics. [12] [13]