This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected ...

Many of the other types of databases share some structural similarities with NoSQL. Graph databases like Neo4J and ArrangoDB are mainly designed to store networks or interconnected nodes ...

At the high end of the complexity spectrum for NoSQL database lies the graph database, which are highly specialized data stores used for storing linked data. Instead of storing data in rows/columns or ...

NoSQL databases: Cassandra Facebook needed ... Although many of us would call FlockDB a graph database because it stores relationships between nodes, some think that the term should apply only ...

NoSQL databases can take a number of forms. They can be cloud services or install on-premises. They can support one or more data models: key-value, document, column, graph, and sometimes even ...

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB, for example, uses a document model, which can be thought of as a row in a RDBMS. Documents ...

2. Which NoSQL data model do you need? The four main types of NoSQL data models are key-value, document, column store, and graph. Each one fits a different use case. Mullins summarizes the ...

Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

Several graph databases rely on a SQL engine and use a table to store the graph data. Others store data in a key-value store or a document-oriented database, making them fundamentally NoSQL.