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  2. Neo4j - Wikipedia

    en.wikipedia.org/wiki/Neo4j

    Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. ... As of version 2.0, indexing was added to Cypher with the introduction of schemas. [21]

  3. Cypher (query language) - Wikipedia

    en.wikipedia.org/wiki/Cypher_(query_language)

    Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015. [ 3 ] The language was designed with the power and capability of SQL (standard query language for the relational database model ) in mind, but Cypher was based on the components and needs of a database built ...

  4. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Despite the graph databases' advantages and recent popularity over [citation needed] relational databases, it is recommended the graph model itself should not be the sole reason to replace an existing relational database. A graph database may become relevant if there is an evidence for performance improvement by orders of magnitude and lower ...

  5. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    The popularization of knowledge graphs and their accompanying methods have led to the development of graph databases such as Neo4j [22] and GraphDB. [23] These graph databases allow users to easily store data as entities and their interrelationships, and facilitate operations such as data reasoning, node embedding, and ontology development on ...

  6. Spatial database - Wikipedia

    en.wikipedia.org/wiki/Spatial_database

    A spatial database is a general-purpose database (usually a relational database) that has been enhanced to include spatial data that represents objects defined in a geometric space, along with tools for querying and analyzing such data. Most spatial databases allow the representation of simple geometric objects such as points, lines and polygons.

  7. Code property graph - Wikipedia

    en.wikipedia.org/wiki/Code_property_graph

    The resulting graph is a property graph, which is the underlying graph model of graph databases such as Neo4j, JanusGraph and OrientDB where data is stored in the nodes and edges as key-value pairs. In effect, code property graphs can be stored in graph databases and queried using graph query languages.

  8. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    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.

  9. Category:Graph databases - Wikipedia

    en.wikipedia.org/wiki/Category:Graph_databases

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