Evaluation of Google BigQuery database capabilities as an alternatives to MySQL

DOI: 10.31673/2412-9070.2022.031621

Abstract

The article considers databases as a central part of a modern computer system. The efficiency of working with information is ensured by the means of database management system. This is the interface between the end user and the program, and of course, the database itself, on which the tasks are performed. Using a database management system allows you to create, update, search, delete and restore data in databases, as well as determine the relationships between its components. Analysis of recent trends in IT companies indicates the effectiveness of cloud technology in working with data. Google’s cloud services offer revolutionary approaches to data processing and storage. They have simplified access to data, analytics and computing power, and changed perceptions of storage costs. Noteworthy is Google BigQuery cloud storage, which runs on serverless technology, which provides super speed of SQL queries. The article presents an analysis of MySQL and Google BigQuery functional tools. MySQL is a solution for small and medium applications, and Google BigQuery is used for large cloud databases. The comparison of the studied systems is given and the possible way of importing data from MySQL to Google BigQuery is indicated. It is concluded that the capabilities of Google BigQuery can be extended with a number of third-party tools. For example, integrating it with Google Spreadsheets, Microsoft Excel, QlikView, BIME Analytics and Microsoft Power BI. It is established that the prospects of using Google BigQuery is to expand the ability to share this database with other software products and optimize query performance.

Keywords: database; database management system; MySQL; Google BigQuery; cloud services; big data.

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