NoSQL databases are a popular alternative to traditional relational databases, especially for handling large volumes of unstructured or semi-structured data. But how do you know when to use them ...

Learn how to effectively handle ETL for NoSQL and graph databases with tips and best practices for data extraction, transformation, and loading.

Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, on Tuesday announced the general availability of Neo4j 2.0. This release adds a new schema ...

Some NoSQL solutions, therefore, focus on consistency models, i.e. availability: the database is always available to accept new data and can always provide an answer when queried, even if that data is ...

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 ...

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 ...

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.

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.