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 ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

But will it set a real standard for MongoDB alternatives? Analysis When Microsoft rolled out an open source extension stack for PostgreSQL to handle document-style data, it wasn't just taking aim at ...

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 ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

Though NoSQL originally developed as a flexible and agile alternative to relational database systems, non-relational databases haven’t yet gained wide acceptability in the large enterprise segment.

The growth of the Relational Databases Software Market is primarily driven by the exponential rise in enterprise data volumes, increasing adoption of cloud-based database solutions, and the ...

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, ...

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 ...

Part 4 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data database system space. The total volume of data created or replicated globally reached 64.2 ...