Paper Contents
Abstract
Database solution delivery for business applications has undergone tremendous transformation over the last ten years with changing technology trends and enterprise needs. The evolution from legacy relational database management systems (RDBMS) to cloud-based databases, microservices architecture, and serverless databases is a movement geared towards better scalability, flexibility, and cost-effectiveness. Though these innovations have taken place, numerous research gaps still prevail in this domain, especially with regards to the performance optimization of databases, distributed systemsdata consistency, and incorporation of new technologies such as blockchain and artificial intelligence into database management. Recent research emphasizes the benefits of using cloud-based databases, hybrid structures, and NoSQL databases for dealing with vast, unstructured data sets. However, an understanding of performance vs. consistency trade-offs, particularly in distributed systems and microservices architecture where eventual consistency models take the place of traditional ACID properties, is still missing. Further, while AI-managed database management systems exhibit startling gains in the area of automatic query optimization and resource allocation, the overall functioning of such systems in business applications is still lacking in proper emphasis. The use of blockchain technology to enhance security, as well as the use of real-time and edge computing databases to enable rapid decision-making in business processes, is typically regarded as a significant field. Nevertheless, the performance-related issues and scalability issues of such technologies are not yet explored. The aim of this research is to identify such gaps and provide a comprehensive review of existing trends, challenges, and potential research avenues in database solutions for business applications. The aim of this research is to fill the identified gap by focusing on the dynamic development of database technologies and their implications on efficiency in operations and business innovation.
Copyright
Copyright © 2025 Bharat Kumar Dokka, Dr T. Aswini. This is an open access article distributed under the Creative Commons Attribution License.
