In this video, David Mizell from YarcData discusses what analysis scenerios call for a graph database vs. a triple store relational database. In order to find the unknown, you often have to know the ...

The recent increase in the popularity of property graph databases is well-founded, as they fulfill a real need. But as usage continues to ramp up, the limitations of traditional property graph systems ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Relational databases (RDBMSs) have been the dominant data management tool for 30 years. They proved to be a good solution for the capture and management of structured data and fairly reasonable for ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an RDF store database? RDF stores enable modeling, representation and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...