Database Administration Across SQL and NoSQL Systems: Trends, Techniques, and Challenges

Abstract

In the age of data-driven computing, data management has become a significant concern in managing highly scaled, heterogeneous and fast-varying loads of data. The paper also provides a comprehensive analysis of the management of databases in both SQL and NoSQL databases based on their architecture, nature of operations, trends in their performance, security issues and future trends of technology. The analysis indicates that relational (SQL) databases are very consistent and structured, and accommodate ACID-compliant transactions, which are very well suited to enterprise and transactional systems. On the other hand, NoSQL systems are highly scalable, schema-agnostic and effective with unstructured and distributed data, which is advantageous for contemporary applications, including big data analytics, cloud computing and real-time systems. Other developments covered in the paper include cloud-native databases, Data-as-a-Service (DBaaS), serverless computing, AI-based automation and distributed database models. Comparative analysis shows that there is no single best database model, and suitability of a model can be determined by the requirements of a given application and the characteristics of the workload. The conclusion of the paper is that database systems in the next-generation computing environments will increasingly embrace hybrid architecture and smart automation to enhance their scalability, security and performance.