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

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 ...

Over time, most likely, graph databases will become as commonplace as relational databases are today. Allied to this is the rise of graph data query languages like Cypher, which was recently made ...

The emergence of JSON data stores such as MongoDB and CouchDB had put a lot more focus on the challenges of indexing non-traditional databases, ... a relational database using graphs, ...

This is where graph databases and NoSQL come into play. Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and store data as ...

Here’s how five industries are taking advantage of graph databases’ extremely fast relational query performance across distributed data stores. 1. Gaining a 360-degree view of customers ...

When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational database faithful. Specifically, Aster's SQL-MapReduce facility ...

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things.Plus, there's a bunch of RDF-based graph ...

RDF Store (Resource Description Framework, Semantic Graph Databases, or Triple Stores): information processing in applications that connect multiple data sources [Here’s more information about ...

Another type of non-relational database is the "object database," which stores data consistent with their object model (see object database). Comparing and Joining.