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Some depend on a relational engine and "store" the graph data in a table (although a table is a logical element, therefore this approach imposes another level of abstraction between the graph database, the graph database management system and the physical devices where the data is actually stored).
Ontotext is a software company that produces software relating to data management. Its main products are GraphDB, an RDF database; and Ontotext Platform, a general data management platform based on knowledge graphs. It was founded in 2000 in Bulgaria, and now has offices internationally. [3]
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.
Download as PDF; Printable version; In other projects ... Neo4j is a graph database management system ... Described by its developers as an ACID-compliant ...
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 ]
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.
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In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...