LOB Storage Management Complexity in Oracle Financial Records Systems

Abstract

LOB (Large Object) storage is widely used in Oracle-based financial record systems to retain
documents, regulatory evidence, signature files, and transaction audit artifacts. However, the
management of LOB data introduces complexity in performance, compliance, and lifecycle operations
due to its size variability and access patterns. This study examines how storage format choices, security
enforcement layers, archival strategies, and access concurrency influence LOB retrieval and write
latency. Results show that SecureFiles-based configurations provide stronger space efficiency and
consistency, while encryption and auditing frameworks add notable overhead during frequent or
distributed retrieval. Archival tiering further affects retrieval time as compressed and deduplicated
objects require reconstruction during rehydration. These findings highlight the need for storage
architecture decisions to be guided by usage behavior, regulatory timetables, and workflow concurrency
models in order to sustain both performance and auditability in financial systems.