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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 ...
Neo4j comes in five editions. Two are on-premises editions, Community (free) and Enterprise, and three are cloud-only editions: AuraDB Free, AuraDB Professional, and AuraDB Enterprise. It is dual-licensed: GPL v3 (with parts of the code under AGPLv3 with Commons Clause), and a proprietary license. The Community Edition is free but is limited to ...
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 ...
Neo4j's database supports undocumented graph-wide properties, Tinkerpop has graph values which play the same role, and also supports "metaproperties" or properties on properties. Oracle's PGQL supports zero to many labels on nodes and on edges, whereas SQL/PGQ supports one to many labels for each kind of element.
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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. The table below outlines those graph vendors that support Gremlin.
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]
JanusGraph is an open source, distributed graph database under The Linux Foundation. [3] JanusGraph is available under the Apache License 2.0.The project is supported by IBM, Google, Hortonworks and Grakn Labs.
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