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.

Before looking into a graph database provider, make sure your intended use works well with the graph model. This means any application that can benefit from using graphs to manage data relationships.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

NoSQL databases are specialized to store different types of data like Key Value, Documents, Column Family, Time Series, Graph, and IoT data. Pascal Desmarets talks about how to perform data ...

Graph databases, such as Neo4j, ... MongoDB is far and away the most popular of the NoSQL databases. Its document data model gives developers great flexibility, ...

Graph Databases Show the Connections Between Data; A graph database uses nodes, relationships between nodes and key-value properties instead of tables to represent information. This model is typically ...

NoSQL uses procedural implementation-specific structures expressed in a JSON format to represent its data model. ECMA International Standards body developed JavaScript to handle tasks in the browser.

Graph databases use graph structures for semantic queries, providing a more flexible and efficient way to manage relationships between data.

By multi-model, Franz said its semantic graph database supports ingestion of different JSON documents as well as Resource Description Framework (RDF), or triplestore, data—another World Wide Web ...

Graph databases, such as Neo4j, ... MongoDB is far and away the most popular of the NoSQL databases. Its document data model gives developers great flexibility, ...