NoSQL databases are designed to store different types of data like Key Value, Documents, Time Series, Graph & IoT. Pascal Desmarets talks about how to do data modeling when using NoSQL databases.

An example of a popular graph database system is Neo4j. Another Choice: The Multi-Model DBMS Yet another choice in the NoSQL market is the multi-model DBMS. A growing number of vendors have delivered ...

Buyers have plenty of choice in NoSQL databases, so how do you choose? Here are five questions that could help you narrow it down.

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 ...

Like most NoSQL database systems, graph databases are not a general replacement for the relational databases that have been the mainstay of business data storage for the last two decades. Rather, they ...

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost ...

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.

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...

Amazon's new graph NoSQL database Neptune can be used to build and run applications that work with highly connected datasets. It also supports read replicas, point-in-time recovery, continuous ...

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 ...