Nowadays, huge volumes of unstructured data are generated, and this cannot be restricted to standardized text inputs for the RDBMS. For example, every corporate entity has applications that generate ...

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 ...

Splice Machine Inc., which tackles Big Data analytics with a SQL-based relational database management system (RDBMS) rather than the more common NoSQL approach, is open sourcing its technology, it ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

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, ...

"Database" has come to be largely synonymous with a relational database management system (RDBMS) or, more specifically, a relational database that is accessed using the SQL query language. Some ...

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning ...

Postgres (PostgreSQL) is gaining in popularity. I see it from the customers I interact with, who last year voted Postgres as the number-one new database they wanted support for on SolarWinds’ THWACK ...