SQL databases are primarily called as Relational Databases (RDBMS). SQL is equally effective at running blazingly fast
ACID transactions. The abstraction that SQL provides from the storage and indexing of data allows uniform use across
problems and data set sizes, allowing SQL to run efficiently across clustered replicated data stores. Structured Query
Language (SQL) is a proven winner that has dominated for several decades and is currently being aggressively invested in
by big data companies and organizations such as Google, Facebook, Cloudera and Apache.
Relational databases having the variety of limitations due to constant growth of stored and analysed data, e.g. the
restrictions on scalability and storage, and efficiently losing of query as the volume of data is very large, and the storing
and managing of larger databases become challenging.
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