The relational landscape continues to be dominated by Oracle, IBM DB2 and Microsoft SQL Server. If you're looking to acquire a new RDBMS, it makes sense to begin by reviewing these three ...

Databases store sets of data about products, customers, orders and other facets of business operations for use in transaction processing or BI and analytics applications. A database management system ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

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 ...

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 ...

Have you noticed that relational "technology" seems to be taking a beating these days? With new “data models” and types of database systems purported to be better than relational, it seems that the ...

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 ...

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

A question asked about data contained in two or more tables in a relational database. The relational query must specify the tables required and what the condition is that links them; for example, ...

KeewanoDB gives every user, device and agent its own table, so AI agents can read event history in sequence instead of rebuilding it at query time.

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 ...