Authors:
Jaroslav Pokorny
1
and
Karel Richta
2
Affiliations:
1
Charles University, Czech Republic
;
2
Czech Technical University, Czech Republic
Keyword(s):
Database Architectures, Distributed Databases, Scalable Databases, MapReduce, Big Data Management Systems, NoSQL Databases, NewSQL Databases, SQL-on-Hadoop, Big Data, Big Analytics.
Related
Ontology
Subjects/Areas/Topics:
Architectural Concepts
;
Artificial Intelligence
;
Big Data
;
Business Analytics
;
Collaboration and e-Services
;
Data Engineering
;
Data Management and Quality
;
Data Management for Analytics
;
Database Architecture and Performance
;
Databases and Data Security
;
e-Business
;
Enterprise Information Systems
;
Information Integration
;
Integration/Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Nosql Databases
;
Ontologies and the Semantic Web
;
Semi-Structured and Unstructured Data
;
Symbolic Systems
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.