Peter Neubauer introduces Graph databases and how they compare to RDBMS' and where they stand in the NOSQL-movement, followed by examples of using a graph database in Java with Neo4j.

The SQL language served as a universal language for data­base manipulation from the mid-1980s until NoSQL data­bases started gaining strength about 12 years ago. However, after a short period in the ...

Constructing these, however, is laborious and a very batch-oriented effort. Around the same time as scale-out NoSQL, graph databases emerged.

While still a bit of an outlier, graph-oriented databases continue to find a role in the modern data stack -- thanks largely to AI.

Review: SQL Server 2017 adds Python, graph processing and runs on Linux Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows.

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Graph databases are a type of NoSQL ...

Let’s unpack his reasons for believing that it’s still very much worthwhile leading a native graph company in a world still dominated by traditional SQL relational database management systems, and ...

That could be another graph database such as Neo4j or Amazon Neptune, or a different kind of NoSQL database such as CouchDB or MongoDB, or a SQL database such as PostgreSQL or MariaDB.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

To SQL or NoSQL? That’s the database question But as technological lines blur, there's not always a clear-cut answer.