NEXT-GENERATION DATABASE TECHNOLOGIES: NAVIGATING COMPLEX RELATIONSHIPS, REAL-TIME ANALYTICS, AND EMERGING PARADIGMS
Ms. A. Supriya
Computer Science Engineering
December 2023
This paper investigates the cutting-edge advancements in next-generation database technologies, addressing the challenges posed by intricate relationships in datasets, the growing demand for real-time analytics, and the emergence of novel paradigms. Focusing on graph databases, it explores advanced architectures and optimization strategies to efficiently manage complex relationships. The study then examines the pivotal role of time series databases in meeting the real-time analytics requirements, particularly in IoT scenarios. Furthermore, the paper delves into the integration of blockchain technologies into databases, evaluating their impact on data integrity and security. Additionally, it reviews recent developments in NoSQL databases, cloud-native architectures, multi-model databases, and in-memory databases. This concise exploration offers a roadmap for navigating the complexities of modern data environments, guiding researchers and practitioners in adopting and adapting to the evolving landscape of next-generation database technologies
© Airo Journals 2021
