Comparative study of database capacity planning methodologies for growing financial institutions

Posted: Oct 01, 2022

• Mateo Garcia
• Mateo Jones
• Mateo Roberts

Abstract

The exponential growth of financial data, coupled with increasingly stringent regulatory requirements and the emergence of real-time processing demands, has rendered traditional database capacity planning methodologies inadequate for modern financial institutions. Current approaches predominantly focus on technical metrics such as transaction volume, storage requirements, and processing power, while largely ignoring the complex interplay between regulatory compliance, data sovereignty constraints, and security overhead that characterize financial database environments. This research addresses this critical gap by developing and comparing novel capacity planning methodologies specifically designed for the unique challenges faced by growing financial institutions.