News. Neo4j 2.0: The Graph Database Has Arrived. By John K. Waters; January 14, 2014; Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, on ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

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.

While originating as a subset of NoSQL or "Not Only SQL," graph databases represent a sharp closing of SQL and NoSQL demarcations. Graph technologies are exploding in its market size as more companies ...

Depending on your data sources and destinations, you may need to use different tools and frameworks to handle ETL. For example, if you are extracting data from a NoSQL database, you may need to ...

Alternate data models in NoSQL offerings. Lucene, Solr and ElasticSearch offer text and document indexing functions, for example to implement real-time search as users enter terms. Graph databases ...

Graph databases—like other NoSQL databases—typically use their own custom query methodology instead of SQL. One commonly used graph query language is Cypher , originally developed for the ...

One of the main advantages of NoSQL databases is that they can handle large amounts of data that is diverse, dynamic, or complex. For example, if you need to store and query data from social media ...

Around the same time as scale-out NoSQL, graph databases emerged. Many things are not “relational” per se, or not based on set theory and relational algebra, but instead on parent-child or ...