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 ...

perspectives The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely ...

LONDON--(BUSINESS WIRE)--Quantzig, a pure-play analytics solutions provider, has announced the completion of their latest article on the four key types of database management systems. Data is the new ...

From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...

Mullins Consulting's Craig Mullins discussed the current crop of DBMSs, how organizations are using them, and how they factor into the changing requirements of DBAs at Data Summit Connect Fall 2020.

The ability to invest in strategic digital initiatives is one of the most important enterprise needs today. At least three factors contribute to the flexibility needed for such investments. The fourth ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Several major database systems provide extensions to support the management and analysis of spatial data in a relational database system (IBM02, Ora01 and IBM01). The functionality is also ...

Commentary--The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely ...