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 ...

Key Benefits of a Graph Database Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

A graph database is a type of data model structured to help users better understand relationships between different data points and content. There are multiple graph databases in the market today ...

“Basically, if your data is a graph,” Mr. Pecora said, “it's useful to model it in your database as a graph.” ...

As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...

Startups like TigerGraph, MongoDB, Cambridge Semantics, DataStax, and others compete with Neo4j in a graph database market expected to be worth $2.4 billion by 2023, in addition to incumbents like ...

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 ...

Neo4j is a leading vendor in the Graph Database Industry. AgensGraph is a multi-model database management system developed by Bitnine. The user can query both Cypher and SQL simultaneously.

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.