For almost 300 years, graph theory remained a mostly academic pursuit. But graphs have turned out to be an ingenious way of dealing with large volumes of data, and especially complex relationships ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

agamemnon is a Python-based graph database built on pycassa, the Python client library for Apache Cassandra. In short, it enables you to use Cassandra as a graph database. The API is inspired by ...

The release of the Panama Papers shined a spotlight onto graph databases and leading supplier Neo4j. ... Now, as the saying goes, 'in theory, ...

At the same time, Neo4j also rolled out its Native Graph Platform, which brings together such capabilities as analytics, visualization, discovery, and data import and transformation to the company’s ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Some graph database products on the market are really wrappers built on top of a more generic NoSQL data store. ... Computer science theory tells us that finding the best overall graph ...

The field of graph theory has been around since 1736, when Leonhard Euler published an article on the subject of the Seven Bridges of Königsberg (in Prussia, today’s Kaliningrad in Russia).