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 ...

The flexibility of the graph data model is a key factor driving the recent surge in graph database popularity. The same requirements for availability and massive scale that drove the development ...

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 ...

Aerospike is another key-value store that can function as a document database. However, not all multi-model databases are NoSQL databases. Many of the biggest RDBMSs, such as Oracle, Db2, and SQL ...

"Graph databases offer a data model that allows for the expression of connections in a very robust fashion," Eifrem said. "Relationships in the graph data model are first class citizens. That is not ...

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.

So Audible for Business built its application using a graph database, which can quickly query millions of relationships between data sets. “Graph is a much simpler and more scalable solution for ...

Graph databases from different vendors vary in the technology available to support data migration into a graph database. Ease of data migration from other datastores, using different data formats ...

SHACL allows a data graph, for instance, to specify the corresponding shapes graph used to describe the link between a given shape and targeted data. Franz claims its upgraded, flexible architecture ...