Because any database that does not support the SQL language is, by definition, a 'NoSQL' database, some very different databases coexist under the NoSQL banner. Massively scalable data stores like ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases , and how appropriate NoSQL databases facilitate Big Data analytics.

NoSQL databases were born out of the need to scale transactional persistence stores more efficiently. In a world where the relational database management system (RDBMS) was king, this was easier said ...

The broad range of NoSQL tools that include projects like Cassandra, CouchDB, Hadoop, Memcached, and MongoDB bring to bear a number of technical advantages--even if no one tool does everything ...

NoSQL is increasingly being considered a viable alternative to relational databases, especially for Big Data applications, as more enterprises recognize that operating at scale is better achieved ...

Organizations are adopting new operational NoSQL databases for better data integration. As such, the leader's quadrant includes 10 companies, half of which are NoSQL-focused companies.

Document databases are a form of NoSQL database that may store all of the information for a given object in a single instance in the database. Contrast this with relational databases that might store ...

NoSQL, as I’ve written, boomed in the enterprise as companies struggled to manage the volume, velocity, and variety of modern data (the three V’s of big data, according to Gartner).

The rise of NoSQL databases presents challenges for established database providers, and new options for data owners. Do you need a NoSQL database? Today, probably not. Tomorrow, that may change.

Announced January 17, Toad Data Studio allows users to manage nearly any database platform in their environment including cloud and on-premises sources and relational, NoSQL, and data warehouse ...