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.

NoSQL databases (also called “Not Only SQL databases”) may be a better fit than relational databases if you face one or more of these concerns: The data has little, or inconsistent, structure ...

Graph databases like Neo4J and ArrangoDB are mainly designed to store networks or interconnected nodes, but they often also use NoSQL’s simple model for the data stored at these nodes.

The NoSQL Database Management Systems market is set to continue steady growth in 2025, driven by rising enterprise data volumes and increased investment in artificial intelligence. Traditional ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility ...

You can tell Oracle NoSQL to sign off on the write after one, all, or a simple majority of the nodes are finished sending the data to disk. The documentation calls this feature a durability policy.

A $3.4 billion market by 2018 — that’s the direction NoSQL technology is headed.. NoSQL databases — which span the categories of key-value stores, column-based stores and document and graph databases ...

This was a job for a NoSQL graph database, O’Rourke decided. A graph database stores information in a structure that records the direct relationship between any two adjacent elements or ‘nodes’ - in ...

Looking back on 2011, I'm struck by two larger trends in the overall database marketplace. First, most energy and excitement (but not much forward motion) seems to be coming from the NoSQL space. And ...

What makes graph databases useful is structure — the data’s structure, according to president and founder of Open Software Integrators Andrew C. Oliver. Ironically, graph databases let you put the ...