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.

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 ...

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 ...

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 ...

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 ...

It might seem strange to group MarkLogic, founded in 2001, with the same hip, young crowd of NoSQL databases such as MongoDB, Cassandra, Couchbase, Hadoop, MapReduce, HBase, Hypertable and many more.

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 ...

Heterogeneous database management system from Quest Software supports dozens of relational, NoSQL, and data warehouse sources, both on-prem and cloud-based. Credit: TTstudio / Shutterstock ...

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).

SQL-based relational database systems are indeed as moribund as NoSQL advocates charge, he argued. But this is the fault of the database vendors themselves, not SQL.