Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases.

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 ...

Many graph database practitioners have, I believe, come to the conclusion that these different languages should come together and be the inputs to a new unified language for the whole market.

Traversing - walking - the network of relationships is a fundamental and efficient operation in a graph database. The two best known graph databases are probably FlockDB and Neo4J. Neo4J is a ...

Graph databases have matured into mainstream information technology and delivered value to organizations in a wide range of applications. Here's how you can expect them to evolve.

Over the past decade, we’ve seen a wave of diversification followed by consolidation in database technologies. Rela­tional databases such as Oracle, MySQL, and SQL Server com­pletely dominated ...

Doing this in a relational database structure is pretty painful. In the JPA/SQL version of granny, I need two tables and multiple trips to the database just to walk the graph of relationships.

Yahoo7 is rolling out a semantic publishing platform across the web sites that promote Channel 7’s local free to air programs, building its new content systems atop an open source graph database ...

Dublin, Aug. 10, 2021 (GLOBE NEWSWIRE) -- The "Graph Database Market with COVID-19 Impact Analysis, By Type (RDF and LPG), Application (Fraud Detection and Prevention, and Recommendation Engine ...

Why graph databases are becoming mainstream and their connection to AI, ML and big data use cases.