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The aim of this paper is to describe a meaning to validate a previously proposed benchmark method targeted at NoSQL databases. The method described here is based on a statistical analysis of the results given by the benchmarking software. The reason for proposing such a validation method is the opinion of the author that any benchmarking methodology should be both based on a rigorous algorithm and verified in a thorough way (by validation and by testing) before practical use.

The concept described by the term NoSQL (Not Only SQL) is a database that is distributed, may not require fixed table schemas, usually avoids join operations and is typically horizontally scalable, it does not offer SQL query interface and is available in most cases as open source - some bibliographic sources use the term to refer to a completely unrelated system. This concept is also assimilated by sources in the academic world as a structured form of storage. The two terms seem not to be entirely equivalent; relational databases, for example, also meet the official definition of data storage structures, but they are somewhat opposite qualities to the concept of NoSQL. The aim of this paper is to discuss the challenges met by the NoSQL solutions and to propose solutions for these challenges.

This paper intends to present one of the studies we jointly done during the research for our Ph.D. theses. Cristian Bucur`s thesis aim is to study how the knowledge stored in web pages from various sources can be retrieved and classified. Bogdan Tudorica`s thesis aim is to study the ways to manage large quantities of data for various purposes (especially through use of new technologies, such as NoSQL databases. As such, the application we are describing in this paper is a mixed one, containing both web page crawling and parsing and data storage in a commonly used NoSQL database.