Striking the Balance: Comprehensive Insights into Data Consistency in NoSQL Realms

This study explores the progression of database architectures, with a specific emphasis on the shift from old relational DBMS to modern NoSQL databases. The conventional method encountered constraints in managing substantial data traffic, a widespread problem in the current digital environment. NoSQL databases were developed to mitigate issues such as eventual consistency and schema-less architecture. This research primarily aims to examine the complexities associated with maintaining data consistency in widely used NoSQL databases such as Redis, CouchDB, MongoDB, Neo4J, and others. The main aim of this work is to explore the intricate challenges related to maintaining data consistency in widely used NoSQL databases. Prominent examples in this investigation encompass Redis, CouchDB, MongoDB, and Neo4J, among other notable options. The study aims to analyze and understand the unique characteristics and capabilities of these databases, examining how they address and overcome issues associated with ensuring consistency in the always-changing data environment. This study provides significant insights into the ongoing evolution of database architectures and their important role in defining the present digital environment by explaining the strengths and complexities of each NoSQL database.