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.

Multi-model databases can take in varying database schemas, allowing them to integrate siloed data.

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

Idera ER/Studio Enterprise Team Edition is a tool for enterprise-scale data modeling and governance. The tool performs impact analyses and change management of new policies or projected changes to ...

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

Storing data in multi-model database wards off this problem. As a modern management system, multi-model databases offer an elegant solution to managing diverse and unstructured data. Instead of ...

Model & Database Comparison: This tool automates and compares bidirectional synchronization of models, scripts and databases. It then displays differences, if any.

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 ...

In Part II of our year-ahead outlook, we explore the sleeper issues that will drive data management and the mainstreaming of AI in analytics.

ER/Studio is an end-to-end data modeling and physical database design tool by IDERA, Inc. It provides tools to construct data models for existing databases or new database designs from scratch.