*Result*: SQL OR NoSQL DATABASES? CRITICAL DIFFERENCES.

*The recent years, marked by an unprecedented increase in the volume of data stored and managed, have simultaneously brought many problems and difficulties regarding the adequate management systems of very large databases, especially the traditional ones, most of them dedicated to relational databases, which are rather oriented towards ensuring data integrity and transaction coherence. The solution to this problem was a new database model, called NoSQL, an emerging alternative to the traditional relational databases, a popular choice especially due to applications in web requirements. NoSQL databases are not only simple replacements for SQL databases, they usually co-exist due to their complements. SQL databases are currently facing many challenges such as scalability and agility proving the inability to adapt to currently available facilities like cheap memory and processing power, while the NoSQL databases are increasingly proving their ability to handle very large volumes of stored data in terms of the number of users. Thus, following the same major objective, as the creation, recovery, updating, and management of data, two complementary database models are currently used, both with pros and cons. This paper aims to be a review of the benefits and limits of NoSQL over the relational highlight by recent literature on the subject. [ABSTRACT FROM AUTHOR]

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