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  2. Code property graph - Wikipedia

    en.wikipedia.org/wiki/Code_property_graph

    In computer science, a code property graph (CPG) is a computer program representation that captures syntactic structure, control flow, and data dependencies in a property graph. The concept was originally introduced to identify security vulnerabilities in C and C++ system code, [ 1 ] but has since been employed to analyze web applications , [ 2 ...

  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

    [2] 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.

  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 ...

  6. Neo4j 4.0 graph database platform brings unlimited scaling - AOL

    www.aol.com/news/neo4j-4-0-graph-database...

    Neo4j, the premiere graph database development platform, announced the release of version 4.0 today, which features unlimited scaling among other updates. Graph databases are growing increasingly ...

  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. 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.

  9. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.