Overview of the method for choosing the most suitable database system according to certain criteria

2020

Closed access Metadata (CSL-JSON)
DOI 10.1145/3410352.3410788
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Nowadays, information technology is one of the key component of ongoing projects in all sectors. Medicine, mechanical engineering, the banking sector, the agro-industry, all of them are on one level or another side of using information technologies and information systems is to predict, calculate or facilitate automatic actions. Information systems do not only simplify daily tasks, even also makes it possible to use resources optimally. However, the information systems require using of optimal solutions and the choice of implementation technologies by themselves. As a result, it seems relevant to develop an automated system for calculating the most suitable database for projects. The purpose of the research is to develop the system for selecting database, also taking into an account the possibility of using hybrid SQL and NoSQL technologies. This article provides an overview also analysis existing types of databases and a comparative analysis method for choosing a system.