Get Download Quantitative Analysis of Scalable NOSQL Databases Online Book
BySurya Narayanan Swaminathan
Total Download
11
“Good books don’t give up all their secrets at once.” –Stephen King
Synopsis
NoSQL databases are rapidly becoming the customary data platform for big data applications. These databases are emerging as a gateway for more alternative approaches outside traditional relational databases and are characterized by e cient horizontal scalability, schema-less approach to data modeling, high performance data access, and limited querying capabilities. The lack of transactional semantics among NoSQL databases has made the application determine the choice of a particular consistency model. Therefore, it is essential to examine methodically, and in detail, the performance of di erent databases under di erent workload conditions. In this work, three of the most commonly used NoSQL databases: MongoDB, Cassandra and Hbase are evaluated. Yahoo Cloud Service Benchmark, a popular benchmark tool, was used for performance comparison of di erent NoSQL databases. The databases are deployed on a cluster and experiments are performed with di erent numbers of nodes to assess the impact of the cluster size. A benchmark suite is presented on the performance of the databases on its capacity to scale horizontally and on the performance of each database based on various types of workload operations (create, read, write, scan) on varying dataset sizes.
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