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  2. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Graph databases are commonly referred to as a NoSQL database. Graph databases are similar to 1970s network model databases in that both represent general graphs, but network-model databases operate at a lower level of abstraction [3] and lack easy traversal over a chain of edges. [4] The underlying storage mechanism of graph databases can vary.

  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. Neo4j - Wikipedia

    en.wikipedia.org/wiki/Neo4j

    Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes , edges connecting them, and attributes of nodes and edges.

  5. 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.

  6. Property graph - Wikipedia

    en.wikipedia.org/wiki/Property_graph

    The notions of "type graphs" and schemas [2] make it possible to meet this need, with types playing a role similar to that of labels in classical graph databases, but with the added possibility of specifying relations between these types and constraining them by keys and properties. The type graph is itself a property graph, linked by a ...

  7. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...

  8. NebulaGraph reaps from China's growing appetite for graph ...

    www.aol.com/news/nebulagraph-reaps-chinas...

    Graph databases, which store information in nodes and relationships instead of tables like Excel sheets, have grown in popularity amid an explosion of data across industries.

  9. OrientDB - Wikipedia

    en.wikipedia.org/wiki/OrientDB

    OrientDB is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document and object models, [2] the relationships are managed as in graph databases with direct connections between records. It supports schema-less, schema-full and schema-mixed modes.