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 ...

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 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.

Graph databases have been around in one form or another since the early oughts, ... with other integrated database systems, such as JSON or XML stores, or with search engines.

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models.

Graph databases are a great tool for helping vendors to improve their tools and for enterprises to assess the veracity of vendor claims using an apples-to-apples comparison.

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

Neo4j is the most popular graph database on the market these days. While graph databases are part of the NoSQL movement, they really solve different problems than, say, Couchbase or MongoDB.

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

Automotive giant Daimler is using Neo4j's graph database technology in its HR department. ZDNet spoke to Jochen Linkohr, the manager of HR IT at Daimler, to find out more.