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  2. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    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).

  3. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    In-memory database and application server (data grid) TerminusDB: TerminusDB (formerly DataChemist) 2019 JavaScript, Python, Prolog, Rust, JSON-LD: Open Source (Apache 2.0) Open source in-memory graph database designed for knowledge graph representation [13] TimesTen: now Oracle Corporation: 1997 Java, JDBC, ODBC, SQL, PLSQL, C Proprietary

  4. TerminusDB - Wikipedia

    en.wikipedia.org/wiki/TerminusDB

    TerminusDB is an open source knowledge graph and document store. It is used to build versioned data products. It is a native revision control database that is architecturally similar to Git. It is listed on DB-Engines. TerminusDB provides a document API for building via the JSON exchange format. It implements both GraphQL and a datalog variant ...

  5. 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. ...

  6. Neo4j - Wikipedia

    en.wikipedia.org/wiki/Neo4j

    Described by its developers as an ACID-compliant transactional database with native graph storage and processing, [3] Neo4j is available in a non-open-source "community edition" licensed with a modification of the GNU General Public License, with online backup and high availability extensions licensed under a closed-source commercial license. [4]

  7. 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.

  8. 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).

  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.