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.

Ted Hills hosted a workshop at the recent Data Architecture Summit 2018 Conference about data modeling for relational and NoSQL databases. He said that the NoSQL movement helped the database ...

RavenDB, a multi-model NoSQL document database trusted by developers and enterprises worldwide, is introducing its AI Agent Creator, a first-to-market feature fully integrated into the database that ...

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 ...

Here are 10 basic facts every CIO should know about big data and emerging database technologies.

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

NoSQL is a whole new way of thinking about a database. Though NoSQL is not a relational database, the reality is that a relational database model may not be the best solution for all situations.

Fortunately, as NoSQL has grown in popularity, quality tools have emerged to model, govern and manage your NoSQL data as effectively as for relational databases.

NOSQL systems choose either Consistency and Partition tolerance, or Availability and Partition tolerance depending on the engine and the data model.