Special Issue "Future Development of SQL, NoSQL and NewSQL Databases"

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".

Deadline for manuscript submissions: 30 June 2019

Special Issue Editor

Guest Editor
Prof. Dr. Jorge Bernardino

Coimbra Polytechnic—ISEC, 3030-190 Coimbra, Portugal
CISUC—Centre of Informatics and Systems of University of Coimbra, 3030-290 Coimbra, Portugal
Website | E-Mail
Interests: big data; data warehousing; database management systems; open source software; decision-making; online analytical processing; business intelligence; NoSQL; NewSQL

Special Issue Information

Dear Colleagues,

“Database Management System” is a comprehensive terminology that refers to a software that interacts with end users and applications and lets the user store, alter, recover, and analyse the stored data. There are three classes of database systems, namely, SQL-Relational Database Systems (RDBMSs), NoSQL Databases, and NewSQL Databases.

Until recently, SQL-Relational Database Management Systems (RDBMSs) were the foundation for managing data. Underlying the RDBMS is the relational model for structuring data and SQL query language for data manipulation and retrieval. The declarative nature of SQL made RDBMS popular, as it enabled users with no technical background to query and manipulate data.

In the past couple of years there has been a remarkable rise in the amount of data that is being generated. “Big data” is a term used to describe this enormous quantity of data, which can be structured, semi-structured, or unstructured. Processing such vast amounts of data requires speed, flexible schemas, and distributed databases. To handle this massive amount of data effectively, two new classes of databases were born: non-relational and more recently new relational—popularly known as NoSQL and NewSQL databases, respectively.

NoSQL databases are also known as Not-only-SQL databases, and belong to the non-relational model. These databases are schema-free and have a flexible schema design that can handle a variety of data. They are scalable and provide high availability, thereby being more favourable to store big data and Internet of Things (IoT) data.

On the other hand, the NewSQL or the modern relational model is designed in such a way that it retains the relational aspect of the traditional RDBMS while simultaneously incorporating solutions provided by NoSQL databases. They are claimed to be the most promising database management systems in addition to being far more adept at handling data than other databases for the ever-increasing IoT and big data.

This Special Issue intends to promote the dissemination of the latest developments, methodologies, solutions, and case studies of SQL, NoSQL, and NewSQL databases. Its objective is to publish high‐quality articles presenting conceptual, theoretical, and experimental contributions, discussing and treating challenges, state-of-the-art, and solutions to a set of currently unresolved key questions including, but not limited to: architecture, infrastructure, performance analysis, optimization, applications, interoperability, scalability, security, etc. Only technical papers describing previously unpublished, original, state‐of‐the‐art research that are not currently under review by a conference or journal will be considered. Possible topics of interest of this Special Issue include, but are not limited to:

  • Advances in SQL databases;
  • Advances in NoSQL databases (e.g., key/value, columnar, document, graph);
  • Advances in NewSQL databases;
  • Advances in in-memory data management;
  • Efficient and effective processing and management of big data;
  • Map/Reduce framework and its exploitation;
  • Security mechanisms for NoSQL management;
  • Availability, reliability, and scalability;
  • Performance characterization, evaluation, and optimization;
  • Multiple source data processing and integration with MapReduce;
  • Storage and computation management of big data;
  • Data management for analytics;
  • Data warehousing, OLAP, SQL analytics;
  • Query processing and optimization;
  • Database monitoring and tuning;
  • Database security, privacy, access control;
  • Database usability;
  • WWW and databases;
  • Mobile databases;
  • Databases for emerging hardware;
  • Open source databases.

Prof. Dr. Jorge Bernardino
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • NoSQL
  • NewSQL
  • database architecture
  • database performance
  • database security
  • large-scale databases

Published Papers

This special issue is now open for submission.
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