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A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. [1] A key concept of the system is the graph (or edge or relationship).
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 and edges.
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.
Sparksee (formerly known as DEX) is a high-performance and scalable graph database management system written in C++.From version 6.0, Sparksee has shifted its focus to embedded systems and mobile, becoming the first graph database specialized in mobile platforms with versions for IOS and Android.
Pages in category "Graph databases" The following 26 pages are in this category, out of 26 total. This list may not reflect recent changes. ...
NebulaGraph is a free software distributed graph database built for super large-scale graphs with milliseconds of latency. [1] NebulaGraph adopts the Apache 2.0 license and also comes with a wide range of data visualization tools. [2]
GUN (Graph Universe Node) is an open source, offline-first, real-time, decentralized, graph database written in JavaScript for the web browser. [1] [2] The database is implemented as a peer-to-peer network distributed across "Browser Peers" and optional "Runtime Peers".
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.