Abstract
In nowadays applications, the amount of data in the database grows exponentially. So, the DBMS must process these huge amounts of data as fast as possible. The main aim of this study is to prove that NoSQL databases process big data faster than relational database. The changing in applications, user and infrastructure characteristics, mostly of the Web 2.0 domain and cloud platform, led to explosion of data sources and massive workloads. These huge amounts of data have raised the problems of storage and usability of data as the usual Relational Database Management Systems (RDBMS) were unable to handle the exponentially growing data on a single in house server (vertical scalability). Furthermore, the required time to process these big data is an issue. The study implements prototype which verifies performance argument. The performance evaluation compares the insertion and retrieval speeds between MongoDB as NoSQL database and MySQL as relational database. The benchmarking performed shows that MongoDB is faster than MySQL in the most of scenarios we chose, particularly when we deal with huge amount of data.
Highlights
Since the 1970s, the relational databases and the associated entity relationship models have together been the standard for database development (Harrington, 2009)
Data insertion scenario: The following subsections showcase the results of the write speed benchmarks performed. They answer the questions of which DBMS, MySQL or MongoDB, is the fastest at different amount of data
Data retrieval scenario: The following subsections showcase the results of the read speed benchmarks performed
Summary
Since the 1970s, the relational databases and the associated entity relationship models have together been the standard for database development (Harrington, 2009). Choosing between databases was limited to the study of differences between available commercial and open source relational databases. They provide the users with the best mix of simplicity, robustness, flexibility, performance, scalability and compatibility (Plugge et al, 2010). NoSQL databases enjoy schema-free architecture and possess the power to manage highly unstructured data. They can be deployed to multi-core or multi-server clusters serving modularization, scalability and incremental replication. Chodorow and Dirolf (2010) MongoDB1 is a schema less document oriented database developed by 10 gen and an open source community.
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