Harnessing vector databases: A comprehensive analysis of their role across industries

Rajesh Daruvuri *

Independent Researcher, University of the Cumberlands, USA.
 
Review
International Journal of Science and Research Archive, 2022, 07(02), 703-705.
Article DOI: 10.30574/ijsra.2022.7.2.0334
Publication history: 
Received on 12 November 2022; revised on 26 December 2022; accepted on 29 December 2022
 
Abstract: 
The rise of big data and the increasing need for efficient storage and retrieval solutions have positioned vector databases as a crucial alternative to traditional relational databases. Vector databases are optimized for high-dimensional data, making them particularly useful in applications such as recommendation systems, image retrieval, and real-time search operations. This paper presents a comprehensive comparison of the leading vector database solutions, highlighting their advantages, limitations, and industry-specific suitability. The research aims to help enterprises determine whether adopting a vector database aligns with their operational requirements. By analyzing factors such as scalability, query performance, data structure compatibility, and cost-effectiveness, this study provides valuable insights into the role of vector databases in various industry segments, including finance, healthcare, retail, and transportation. 
 
Keywords: 
Vector Databases; Industry Suitability; Query Performance; Data Processing; Big Data; Scalability
 
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