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A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.
A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...
By multi-model, Franz said its semantic graph database supports ingestion of different JSON documents as well as Resource Description Framework (RDF), or triplestore, data—another World Wide Web ...
RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph ...
In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...
Graph database growth. Gartner predicts that graph processing and graph databases “will grow at 100% annually over the next few years to accelerate data preparation and enable more complex and ...
A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...
Graph databases like this shouldn’t be confused with the Microsoft Graph. It uses a node model ... underlying patterns in the data. Having a graph database like Neo4j in the Azure ...
RDF Store (Resource Description Framework, Semantic Graph Databases, or Triple Stores): ... NoSQL databases don’t use the normalized data model found in relational databases.
The introduction of the graph database will also see the graph model added to Aerospike’s real-time data platform which already supports key value and document models. Last year, the company ...