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A summary of performance comparison of SQL and NoSQL databases Shubham Sharma October 2016
1
Introduction
The paper ”A performance comparison of SQL and NoSQL databases” published by Yishan Li and Sathiamoorthy Manoharan of University of Auckland, New Zealand compare the key-value stores implementation of SQL and NoSQL databases. The claims made by the authors are summarized below.
2
Summary
With the current development of NoSQL databases, these databases are considered to perform better than the traditional SQL databases. In this paper author has independently investigated the performance of some NoSQL and SQL databases in the light of key-value stores and compared read, write, delete, and instantiate operations on key-value stores implemented by NoSQL and SQL databases. An abstract key-value pair framework supporting these basic operations is designed and implemented using all the databases tested. Experimental results measure the timing of these operations and we summarize our findings of how the databases stack up against each other. Using these experimental results authors claimed that not all NoSQL databases perform better than SQL databases. Some are much worse. And for each database, the performance varies with each operation. Some are slow to instantiate, but fast to read, write, and delete. Others are fast to instantiate but slow on the other operations. And there is little correlation between performance and the data model each database uses.
