Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

Overview of Relational Database Management Systems A relational DBMS organizes and accesses data according to relationships among data items. The relationships among data items are expressed by tables ...

Global Relational Database Management System market growth policies as well as plans are discussed and cost structures and manufacturing processes are also studied in the report. This study also ...

Relational database management system advantages and disadvantages are often tied together. While they are easy to use, for example, they can be complex and expensive to design and set up.

Post-relational systems push their equivalent of the Join, called a Translate, into the schema, making it easier to write queries and more difficult to incorrectly associate data due to poor ...

The term relational database is almost superfluous these days. After all, every major commercial database product—Oracle, Sybase, DB2—is based on the same underlying relational model. There ...

A library database with three linked tables (Authors, Titles and Subjects). A classic example of relational database design, this would be nearly impossible to do in a spreadsheet but was easy to ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many ...

Organizations have long utilized relational database management systems (RDBMS) optimized for OLTP to manage their data. The concept of an OLTP database dates back to the 1960s, ...

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space including Cockroach Labs, MongoDB, MariaDB and Redis Labs.