For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

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 ...

Oracle Database 21c runs SQL directly on data stored in the mapped PMEM file system, eliminating the need for a large buffer cache and reduces the code path. And it provides much faster ...

Traditional RDBMS technology is incapable of handling the demands of unstructured, big data. BI pros are now going beyond RDBMS and exploring new options.

In an RDBMS, SQL is interpreted and validated, an execution plan is created, a cursor is spawned, and results are gathered into that cursor and then iterated over for a point-in-time picture of the ...

So, real-time monitoring is done in Hadoop and associated NoSQL databases, but for longer-term trending analytics, that’s RDBMS. SEE: Big data privacy must be fixed before the revolution can ...

Microsoft introduced a preview of the latest edition of its flagship RDBMS, SQL Server 2019, highlighting new Big Data capabilities integrated into the core database engine.

The first step in the long journey of SQL/XML hybridization was to publish relational data as XML. BEA Chief Architect Adam Bosworth, who worked on the idea’s SQL Server implementation, calls it ...

The second service pack for Microsoft's flagship RDBMS, SQL Server 2016, shipped this month. According to a blog post published this week, the SQL Server 2016 Service Pack 2 (SP2) includes cumulative ...

Fresh from last week's Build developer conference in San Francisco, Microsoft executives appeared at the company's first-ever Ignite conference in Chicago and provided more details about the company's ...