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  2. 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 ...

  3. Graph (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Graph_(abstract_data_type)

    In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics. A graph data structure consists of a finite (and possibly mutable) set of vertices (also called nodes or points ), together with a set of unordered pairs of these ...

  4. Category:Graph databases - Wikipedia

    en.wikipedia.org/wiki/Category:Graph_databases

    Pages in category "Graph databases" The following 26 pages are in this category, out of 26 total. This list may not reflect recent changes. ...

  5. 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.

  6. ArangoDB - Wikipedia

    en.wikipedia.org/wiki/ArangoDB

    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).

  7. Ontotext - Wikipedia

    en.wikipedia.org/wiki/Ontotext

    Ontotext GraphDB (previously known as BigOWLIM) is a graph-based database [6] capable of working with knowledge graphs [7] produced by Ontotext, compliant with the RDF graph data model [8] and the SPARQL query language. [9] Some categorize it as a NoSQL database, meaning that it does not use tables like some other databases. [10]

  8. 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 ...

  9. InfiniteGraph - Wikipedia

    en.wikipedia.org/wiki/InfiniteGraph

    InfiniteGraph is a distributed graph database implemented in Java and C++ and is from a class of NOSQL ("Not Only SQL") database technologies that focus on graph data structures. Developers use InfiniteGraph to find useful and often hidden relationships in highly connected, complex big data sets.