Examples of these applications, for which business analysts need to seriously consider graph databases, include: Artificial intelligence. Computing infrastructure monitoring.

Graph databases also apply to network and data center management. A cloud infrastructure, for example, is a connected system. The shape of the data can help track the root cause analysis of a data ...

Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph Written by George Anadiotis, Contributor March 16, 2020 at 4:47 a.m. PT ...

Some graph database products on the market are really wrappers built on top of a more generic NoSQL data store. This virtual graph strategy has a double penalty when it comes to performance.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

LinkedIn recently published how LIquid, its graph database, automates the indexing and real-time access of all connections to members, schools, skills, companies, positions, jobs, events, etc.

SAN MATEO, CA--(Marketwired - Jun 4, 2014) - Neo Technology, creators of Neo4j, the world's leading graph database, today announced that healthcare companies around the globe have turned to Neo4j ...

Graph database experts hope that better benchmarks could play a similar role in the evolution of graph databases. Ronald sees a need for more graph database benchmarks in verticals. For example ...