Date of Publication :29th March 2024

Abstract: DynamoDB, a NoSQL database, offers scalability and integration with other AWS services, making it a popular choice for large-scale data storage. However, its performance can suffer with increasing table size and suboptimal schema design. This study investigates the impact of increasing table size on DynamoDB performance across diverse platforms, hardware configurations, and operating systems. We explore the role of optimal schema design in achieving peak performance at minimal cost and provide insights for guiding schema decisions and platform selection. By analysing performance variations with table size growth, we aim to derive recommendations for effective DynamoDB implementation, taking into account both performance and cost considerations.

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