Knowledge Graphs are quickly being adopted because they have the advantages of linking and analyzing vast amounts of interconnected data. The promise of graph technology has been there for a decade.

The big advantage of TigerGraph Insights is that it lets users go back and forth between traditional visualizations of data, such as standard tables, pie charts, line charts, and bar charts, and ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...

Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

As a fully-managed transactional graph database as a service, Amazon Neptune not only offers freedom from the need to maintain the database hardware and software, it also offers easy scaling ...