Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Graph databases have matured into mainstream information technology and delivered value to organizations in a wide range of applications. Here's how you can expect them to evolve.

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

Over the past decade, we’ve seen a wave of diversification followed by consolidation in database technologies. Rela­tional databases such as Oracle, MySQL, and SQL Server com­pletely dominated ...

Interoperability between GQL and SQL. Spanner Graph or Spanner in general, according to Google’s vice president of engineering for databases, Andi Gutmans, will now support the graph query ...

Graph databases map relationships between entities in a network. They won’t replace conventional relational databases, but for harnessing the value of interconnectedness they mark a breakthrough ...

The two best known graph databases are probably FlockDB and Neo4J. Neo4J is a Java-based graph database that easily can be embedded in any Java application, or run as a standalone server. Neo4j has ...

Yahoo7 is rolling out a semantic publishing platform across the web sites that promote Channel 7’s local free to air programs, building its new content systems atop an open source graph database ...

IBM releases Graph, a service that can outperform SQL databases by Dan Richman on July 27, 2016 at 3:25 pm July 27, 2016 at 3:25 pm Share 1 Tweet Share Reddit Email ...