Performance Comparison of Two Database Management Systems MySQL vs MongoDB
Abstract: Databases are commonly used today in a vast amounts of applications. The main point in using databases is to be able to store and access data fast and in a secure way. These databases need to be able make different operations as fast as possible without losing data. The two main database technologies used today are NoSQL and SQL (StructuredQuery Language) databases. NoSQL is an umbrella term for all DBMS (Database Management system) which are not using SQL like relational databases do. NoSQL stands for non-SQL, non-relational or not only SQL. In this thesis one DBMS from each database technology is compared to each other. The comparison is based on space allocation when they contain different amounts of records and time performance when executing different operations on different amounts of records. The operation stested for the speed performance were insertion, select, update and remove. The results showed that MySQL allocated less space when containing large amounts of records. While MongoDB was faster in almost all test case for every operation.
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