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Updated: Jan 10, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
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UniqueNOSD: a novel framework for NoSQL over SQL databases.

Abdulrauf A Gidado1, C I Ezeife1

  • 1School of Computer Science, University of Windsor, Windsor, ON N9B 3P4 Canada.

Journal of Big Data
|November 21, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel NoSQL over SQL Database (UniqueNOSD) system, enhancing data consistency and scalability for large databases. Our approach optimizes NoSQL data storage and retrieval without redundancy, outperforming existing systems.

Keywords:
Big DataNoSQL DatabaseNoSQL over SQLRelational DatabaseSQL over NoSQL

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Area of Science:

  • Database Systems and Management
  • Distributed Computing
  • Data Storage and Retrieval

Background:

  • Large corporations predominantly use relational databases for core systems and non-relational (NoSQL) databases for non-core systems, prioritizing availability and scalability over consistency.
  • NoSQL systems, based on the CAP theorem, often trade consistency for availability and partition tolerance, limiting their use due to lack of robust query engines.
  • Existing 'SQL over NoSQL' solutions introduce query layers but suffer from data redundancy and consistency issues, and are not relationally complete.

Purpose of the Study:

  • To present a 'Unique NoSQL over SQL Database' (UniqueNOSD) system, an inverse approach to existing methods, enabling full NoSQL functionality without an extra SQL query layer.
  • To propose a NoSQL over SQL Block as a Value data storage strategy for document-based NoSQL databases, aiming to eliminate data redundancy and inconsistency.
  • To demonstrate improved data storage, retrieval, query execution, consistency, and scalability in large database systems.

Main Methods:

  • Introduced a 'NoSQL over SQL Block as a Value' (B as V) data storage strategy, representing relations as [Formula: see text] (a tuple (K, B)) instead of the traditional [Formula: see text] model.
  • Defined relations as [Formula: see text] with a key attribute K and a set of n relations (blocks) B, where each block [Formula: see text] contains its own attributes and is related via foreign keys.
  • Conducted experiments using benchmark systems of 'SQL over NoSQL', relational databases, and real-life datasets to evaluate the UniqueNOSD system.

Main Results:

  • The UniqueNOSD system demonstrated superior performance compared to existing relational databases and 'SQL over NoSQL' systems.
  • The proposed system ensures data consistency, scalability, and efficient query execution.
  • Significant improvements were observed in data storage and retrieval, without data loss, enhancing overall NoSQL database performance.

Conclusions:

  • The Unique NoSQL over SQL Database (UniqueNOSD) system effectively addresses the limitations of traditional NoSQL and 'SQL over NoSQL' approaches.
  • The 'NoSQL over SQL Block as a Value' strategy provides a novel solution for consistent and scalable data management in NoSQL databases.
  • The findings suggest that UniqueNOSD is a viable and performant alternative for large-scale database systems requiring both NoSQL flexibility and relational data integrity.