Object-relational databases extend the capabilities of the relational database toward representing objects. Although there are no standards yet in this arena, a clear picture emerges from the ...

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems–and there were few ...

DataCebo is the company behind the Synthetic Data Vault (SDV), the source-available ecosystem that pioneered generative modeling for tabular and enterprise relational data. Originating at MIT's Data ...

To bridge the gap between agility and safety, enterprise architects must move away from big-bang deployments and adopt a ...

Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time. NoSQL promised to upend the database market as big data ...

Builds a governed, business-object path from enterprise DBs to AI agents, opening opportunities for AI platforms, data ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a multivalue database? Multivalue databases have tabular structure that ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

When it comes to providing reliable, flexible, and efficient object persistence for software systems, today's designers and architects are faced with many choices. From the technological perspective, ...

Database normalization is the process of organizing data into tables in such a way that the results of using the database are always unambiguous and as intended. Such normalization is intrinsic to ...