Traditional relational databases, the powerhouse of software applications since the 1980s, work well when your data is predictable and fits well into tables, columns, rows, and wherever queries ...

Companies who are adopting the graph approach are fundamentally transforming their organizations in the “data age.” Semantic graph databases are the successors of relational databases. They represent ...

Graph database vs. relational database. In a traditional relational or SQL database, the data is organized into tables. Each table records data in a specific format with a fixed number of columns ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

In the realm of technology and data, graph databases capture the dependencies and relationship between data products, as opposed to a relational database that focuses on individual rows or products.