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.

Standard, non-graph NoSQL databases — whether key-value, document-oriented, or column-oriented — typically store sets of disconnected values, documents, or columns.

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.

By adding SQL support, FaunaDB has turned from NoSQL to SQL overnight. How much variance there is in that variant, and whether that works for them, users will have to see for themselves.

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.

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 ...

Why? Because put at its simplest, a common query language could open the doors to graph technology being used more widely in exactly the same way the lingua franca of SQL propelled relational to ...

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 ...