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  2. Amazon Neptune - Wikipedia

    en.wikipedia.org/wiki/Amazon_Neptune

    Amazon Neptune is a managed graph database product published by Amazon.com. It is used as a web service and is part of Amazon Web Services (AWS). It was announced on November 29, 2017. [ 1 ]

  3. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Amazon Neptune: 1.4.0.0: 2024-11-06 [22] Proprietary: Not disclosed: Amazon Neptune is a fully managed graph database by Amazon.com. It is used as a web service, and is part of Amazon Web Services. Supports popular graph models property graph and W3C's RDF, and their respective query languages Apache TinkerPop, Gremlin, SPARQL, and openCypher ...

  4. Blazegraph - Wikipedia

    en.wikipedia.org/wiki/Blazegraph

    It was alleged [21] that Amazon Neptune is based on Blazegraph, as evidenced by: acquiring of the Blazegraph trademark by AWS; [22] acquiring of the blazegraph.com domain name by AWS; [23] transition of many employees (including CEO) to AWS. [24]

  5. GraphQL - Wikipedia

    en.wikipedia.org/wiki/GraphQL

    GraphQL is a data query and manipulation language for APIs that allows a client to specify what data it needs ("declarative data fetching"). A GraphQL server can fetch data from separate sources for a single client query and present the results in a unified graph . [ 2 ]

  6. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    In September 2019 a proposal for a project to create a new standard graph query language (ISO/IEC 39075 Information Technology — Database Languages — GQL) [3] was approved by a vote of national standards bodies which are members of ISO/IEC Joint Technical Committee 1(ISO/IEC JTC 1).

  7. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    Amazon DynamoDB is a managed NoSQL database service provided by Amazon Web Services (AWS). It supports key-value and document data structures and is designed to handle a wide range of applications requiring scalability and performance.

  8. 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.

  9. Gremlin (query language) - Wikipedia

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

    Gremlin is an Apache2-licensed graph traversal language that can be used by graph system vendors. There are typically two types of graph system vendors: OLTP graph databases and OLAP graph processors.