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  2. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    Prior work by WG3 and SC32 mirror bodies, particularly in INCITS Data Management (formerly INCITS DM32), has helped to define a new planned Part 16 of the SQL Standard, which allows a read-only graph query to be called inside a SQL SELECT statement, matching a graph pattern using syntax which is very close to Cypher, PGQL and G-CORE, and ...

  3. RDF query language - Wikipedia

    en.wikipedia.org/wiki/RDF_query_language

    These languages support querying of both data and schema. RQL, an acronym for RDF Query Language, is known for using types defined in RDF schemas (RDFS) to query the schema class hierarchy and to support data querying by type. RQL is considered more expressive than the SPARQL family of languages, but has been criticized for too many features ...

  4. Cypher (query language) - Wikipedia

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

    Cypher is based on the Property Graph Model, which organizes data into nodes and edges (called “relationships” in Cypher). In addition to those standard graph elements of nodes and relationships, the property graph model adds labels and properties for describing finer categories and attributes of the data. Nodes are the entities in the graph.

  5. Check constraint - Wikipedia

    en.wikipedia.org/wiki/Check_constraint

    Check constraints are used to ensure the validity of data in a database and to provide data integrity. If they are used at the database level, applications that use the database will not be able to add invalid data or modify valid data so the data becomes invalid, even if the application itself accepts invalid data.

  6. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Property Graph; consisting of a set of objects or vertices, and a set of arrows or edges connecting the objects. Vertices and edges can have multiple properties, which are represented as key–value pairs. Includes PGQL, an SQL-like graph query language and an in-memory analytic engine (PGX) nearly 60 prebuilt parallel graph algorithms ...

  7. Triplestore - Wikipedia

    en.wikipedia.org/wiki/Triplestore

    A graph database has a more generalized structure than a triplestore, using graph structures with nodes, edges, and properties to represent and store data. Graph databases might provide index-free adjacency, meaning every element contains a direct pointer to its adjacent elements, and no index lookups are necessary.

  8. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The term "schema" refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases). The formal definition of a database schema is a set of formulas (sentences) called integrity constraints imposed on a database.

  9. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    The basic data structure of the relational model is the table, where information about a particular entity (say, an employee) is represented in rows (also called tuples) and columns. Thus, the " relation " in "relational database" refers to the various tables in the database; a relation is a set of tuples.