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

NoSQL databases explained. NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that ...

What about NoSQL? There are four different types of NoSQL database systems: wide column stores, key/value, document stores, and graph database systems. A fifth option is the multi-model DBMS which ...

In fact, many NoSQL databases have added support for SQL-style queries. But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors, and other sources ...

Microsoft SQL Server is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 315 monitored systems. We thus declare Microsoft ...

Wide column store databases allow you to manage data that just won’t fit on one computer. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...

Fat and happy in SQL land? There’s a lot of money in managing enterprise data, and there’s more of it each year. In 2015, Gartner pegged the DBMS market at $35.9 billion, an 8.7 percent jump ...

SQL databases with in-memory column stores, NoSQL with query languages; it looks like the two schools of database design have begun to merge.

That coronation was bestowed by DB-Engines, a knowledge base of relational and NoSQL database management systems (DBMS) that tracks more than 290 individual products. DB-Engines uses a multi-faceted ...

With the NoSQL market expected to be worth $22 Billion by 2026, big business is paying Apache Cassandra a lot of attention. While MongoDB dominates NoSQL, 52.71% to Cassandra's 9.73%, Cassandra ...