The discussion around the term "NoSQL" reflects a broader shift in data storage paradigms, as traditional relational database management systems (RDBMS) struggle to handle the demands of Big Data characterized by volume, velocity, variety, veracity, and value. Critics argue that "NoSQL" is an inadequate label since it implies a negation of SQL, which remains a valuable tool, rather than highlighting the innovative capabilities of these new data systems. These emerging databases, sometimes referred to as "AltDB" or suggested as "JustAddMoreNodesDB," are viewed as complementary to RDBMS rather than replacements, emphasizing their ability to scale out by adding more nodes. This evolution is illustrated by technologies like Hadoop, which incorporate SQL-like functionalities through components such as Hive, allowing users to execute SQL-like queries that are translated into map-reduce operations, revealing an ongoing integration of relational features into non-relational systems.