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.

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Compared with legacy database systems, the management and operation of a NoSQL product is much simpler, and many enterprises are able to use its management capabilities to ensure their SLAs are met.

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 ...

erwin has launched erwin DM NoSQL, an extension of the company's erwin Data Modeler solution. Representing an expansion of the company's 'any-squared' (Any2)-any data, anywhere-approach, the new ...

NoSQL and in-memory database technology is an evolution based on technology originally developed in the 1960s and 1970s. So, the supplier in question can’t claim what they’re doing is ...

Data Modeling For an in-depth guide to NoSQL data modeling techniques, read this article at the Highly Scalable Blog. Engine Comparison ...

Businesses are quickly moving to NoSQL databases to power their modern applications. However, a technology migration involves risk, especially if you have to change your data model. What if you could ...

It's clear that NoSQL adoption has paid dividends to the Twitters and Netflixes of the world. But it's been less apparent just how much attention mainstream organizations ought to pay to the trend ...

After overcoming early criticism and securing a position as a leading NoSQL document database, MongoDB appears to be taking steps to broaden its user base from developers to include traditional ...