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