Throughput rates of Simple Operations when Scaling-out with RDBMS and NoSQL Databases
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Abstract
RDBMS databases typically increase read operation throughput and decrease write operations throughput when more machines are involved. NoSQL databases increase at both throughput rates when more machines are involved. However, NoSQL databases are typically build to run with tens, hundreds or even thousands of machines while little is known about their performance on a smaller scale. This thesis describes the measured maximum throughput rates of read and write operations at RDBMS and NoSQL databases with one to four machines. These measurements show a potential for future databases.