When analyzing traditional OLTP databases, it becomes clear that less than 10% of processing time is spent on useful work, while a staggering 90% is attributed to overhead. This overhead is primarily due to managing the buffer pool, which involves complex tasks like record retrieval and format conversion. Additionally, every record access requires setting a read lock, further complicating performance efficiency.
