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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.
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.
OrientDB is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document and object models, [2] the relationships are managed as in graph databases with direct connections between records. It supports schema-less, schema-full and schema-mixed modes.
TerminusDB is an in-memory graph database management system with a rich query language. The design of the underlying data structure, which is implemented in a Rust library, uses a succinct data structures and delta encoding approach drawing inspiration from software source control systems like Git. [21]
ArangoDB is a graph database system developed by ArangoDB Inc. ArangoDB is a multi-model database system since it supports three data models (graphs, JSON documents, key/value) [1] with one database core and a unified query language AQL (ArangoDB Query Language).
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In the field of database design, a multi-model database is a database management system designed to support multiple data models against a single, integrated backend. In contrast, most database management systems are organized around a single data model that determines how data can be organized, stored, and manipulated. [ 1 ]