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This research evaluates the performance of MongoDB and Apache Cassandra in high-throughput, scalable environments, focusing on their trade-offs in consistency, availability, and partition tolerance through the CAP theorem. Using the Yahoo! Cloud Serving Benchmark (YCSB), the study finds that Cassandra excels in write throughput and scalability, while MongoDB performs better in read-heavy scenarios and ad-hoc query flexibility. The paper provides a detailed methodology for empirical testing, aiming to guide
- Author
- 260100874
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- EN