Some NoSQL databases focus on speed, some on scale, while others aim at relationships or offline use. The right choice depends on how your ...

Most any application needs some form of persistence—a way to store the data outside of the application for safekeeping. The most basic way is to write data to the file system, but that can quickly ...

The NoSQL databases featuring massive scalability developed for and used by the big social networks like Facebook and Twitter have created a whole new category. Amazingly (or not) most of the ...

Users who eschew traditional relational databases in favor of the newly emerging NoSQL databases might be “throwing the baby out with the bath water,” warned a database pioneer before a roomful of ...

Machine learning and artificial intelligence are fundamentally dependent on databases. These databases serve the vital role of storing, organizing, and pulling up necessary data to develop and train ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

Heterogeneous database management system from Quest Software supports dozens of relational, NoSQL, and data warehouse sources, both on-prem and cloud-based. Systems management and security software ...

Join Aleks Volochnev from the DataStax Developers Team and learn why more and more traditional and cloud native applications are using the power of NoSQL Databases. In about 60 minutes, you’ll learn ...