Publication Date
Spring 2013
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Web applications are growing at a staggering rate every day. As web applications keep getting more complex, their data storage requirements tend to grow exponentially. Databases play an important role in the way web applications store their information. Mongodb is a document store database that does not have strict schemas that RDBMs require and can grow horizontally without performance degradation. MongoDB brings possibilities for different storage scenarios and allow the programmers to use the database as a storage that fits their needs, not the other way around. Scaling MongoDB horizontally requires tens to hundreds of servers, making it very difficult to afford this kind of setup on dedicated hardware. By moving the database into the cloud, this opens up a possibility for low cost virtual machine instances at reasonable prices. There are many cloud services to choose from and without testing performance on each one, there is very little information out there. This paper provides benchmarks on the performance of MongoDB in the cloud.
Recommended Citation
Matei, Tudor, "MongoDB Performance In The Cloud" (2013). Master's Projects. 306.
DOI: https://doi.org/10.31979/etd.bp6g-sreg
https://scholarworks.sjsu.edu/etd_projects/306
