Many commercial RDBMS products offer horizontal scaling (clustering) as well, but these are bolted-on solutions and can be very expensive and complex.

Because existing RDBMS implementations work on Niagara/ZFS, but aren't internally designed to match its balance between memory, I/O, and processing.

DBMS 2020: State of PlayPrior to 2008, whatever your database question, the answer was always,“Oracle”—or sometimes, “MySQL” or, “SQL Server.” The relational database management system (RDBMS) ...

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

Organizations are utilizing open source relational database systems like Postgres to drive down operational costs and redirect budget for strategic initiatives. The increased maturity, reliability and ...

The long hegemony of SQL and RDBMS is over. Dozens of NoSQL databases have sprung up, the document variety in particular catering to developers who favor the JSON (JavaScript Object Notation ...

The similarities and differences between HDBMS, NDBMS, RDBMS and OODBMS give the clear cut idea to the user or database designer of selecting better model for storing information.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.