| E. Dritsas, M. Trigka, Ph. Mylonas |
| NoSQL Databases: Models, Architectures, and Trends for Scalable Data Management |
| 20th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2025), 27-28 November 2025, Mystras, Greece |
|
ABSTRACT
|
| The increasing heterogeneity, volume, and velocity of modern data have exposed fundamental limitations in traditional relational database management systems (RDBMS), fueling the widespread adoption of Not Only Structured Query Language (NoSQL) databases. This survey provides a comprehensive examination of NoSQL systems, offering a structured analysis of their design motivations, classification schemes, architectural models, and performance characteristics. We explore how different storage engines, consistency models, and replication strategies shape system behavior under diverse workloads. A comparative study of benchmark results across representative NoSQL platforms is presented, complemented by a domain-driven mapping of use cases to database categories, which bridges architectural insight with deployment-centric perspectives. Additionally, we highlight ongoing research challenges related to interoperability, security, and intelligent query processing. This study aims to serve as both a reference and a decision-support tool for researchers and practitioners navigating the evolving NoSQL landscape.
|
| 27 November , 2025 |
| E. Dritsas, M. Trigka, Ph. Mylonas, "NoSQL Databases: Models, Architectures, and Trends for Scalable Data Management", 20th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2025), 27-28 November 2025, Mystras, Greece |
[  PDF] [
BibTex] [
Print] [
 Back] |
