In most financial firms, online transaction processing (OLTP) often relies on static or infrequently updated data, also called reference data. Reference data sources don’t always require ACID transaction capabilities, rather need support for fast read queries often based on simple data access patterns, and event-driven architecture to ensure the target systems remain up-to-date. NoSQL databases emerge as ideal candidates to meet these requirements, and cloud platforms such as AWS offer managed and highly resilient data ecosystems.

In this article, I am not going to determine which AWS NoSQL database is better: the concept of a better database only exists within a specific purposeful context. I will share a coding lab to measure the performance of AWS-managed NoSQL databases such as DynamoDB, Cassandra, Redis, and MongoDB.

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