For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

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 ...

Reltio is a product that combines Master Data Management (MDM) with the power of the Cassandra NoSQL and graph databases to create a new kind of application development platform for data-heavy use ...

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 ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

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

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 ...

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

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.