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Graph databases are a powerful tool for graph-like queries. For example, computing the shortest path between two nodes in the graph. Other graph-like queries can be performed over a graph database in a natural way (for example graph's diameter computations or community detection).
The RDF model has been standardized by W3C in a number of specifications. The Property Graph model, on the other hand, has a multitude of implementations in graph databases, graph algorithms, and graph processing facilities. However, a common, standardized query language for property graphs (like SQL for relational database systems) is missing.
The RDF model has been standardized by W3C in a number of specifications. The Property Graph model, on the other hand, has a multitude of implementations in graph databases, graph algorithms, and graph processing facilities. However, a common, standardized query language for property graphs (like SQL for relational database systems) is missing.
The predominant query language for RDF graphs is SPARQL. SPARQL is an SQL-like language, and a recommendation of the W3C as of January 15, 2008. The following is an example of a SPARQL query to show country capitals in Africa, using a fictional ontology:
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.
A graph database consists of a directed graph whose edges carry a label. A regular path query is just a regular expression over the set of labels. For instance, in a graph database where vertices represent users and there is an edge label "parent" for edges from a parent to a child, the regular path query would select pairs of a node x and a descendant y of x, with a path from x to y of ...
In addition, SPARQL provides specific graph traversal syntax for data that can be thought of as a graph. The example below demonstrates a simple query that leverages the ontology definition foaf ("friend of a friend"). Specifically, the following query returns names and emails of every person in the dataset:
ArangoDB is a graph database system developed by ArangoDB Inc. ArangoDB is a multi-model database system since it supports three data models (graphs, JSON documents, key/value) [1] with one database core and a unified query language AQL (ArangoDB Query Language).