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Database Architectures: Current State and Development

Publication at Faculty of Mathematics and Physics |
2015

Abstract

The paper presents shortly a history and development of database management tools in last decade. The movement towards a higher database performance and database scalability is discussed in the context to requirements of practice.

These include Big Data and Big Analytics as driving forces that together with a progress in hardware development led to new DBMS architectures. We describe and evaluate them mainly in terms of their scalability.

We focus also on a usability of these architectures which depends strongly on application environment. We also mention more complex software stacks containing tools for management of real-time analysis and intelligent processes.