While relational databases remained strong, the 2000s saw the emergence of XML databases, and NoSQL, the idea that databases didn't need to be structured in a purely tabular form, began to get hot.

OrientDB: A versatile open-source option suitable for businesses of various sizes, OrientDB offers a multi-model database that combines graph and document functionalities.

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 ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

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.

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

This format is designed for transmission and display but the problem is that 900,000 articles in XML is not a good database, it’s a content repository and it’s not good for querying. Since data is ...

Graph analytics can be performed on any back end, as they only require reading graph-shaped data. Graph databases are databases with the ability to fully support both read and write, utilizing a ...

How Daimler is using graph database technology in HR Using cutting-edge technology like Neo4j to understand new ways of working. Written by Colin Barker, Contributor March 8, 2019 at 2:37 a.m. PT ...