@article{MAKHILLJEAS2019141918481,
    title = {Performance Evaluation for MongoDB and Redis: A Comparative Study},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {19},
    pages = {7218-7222},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7218.7222},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7218.7222},
    author = {Sultan and},
    keywords = {SQL,NoSQL,MongoDB,Redis,performance,data model},
    abstract = {NoSQL databases have been emerging as promising technology as well as the customary platform
for big data application. These databases become an alternative approach for relational databases based on
what it characterized as fast access data, limited query and efficient horizontal scalability. This study aims to
investigate the performance for MongoDB and Redis databases in light of basic operations. The experimental
result measure execution time for each operation which in turn helps to determine suitable NoSQL Model for
a specific application because there is a little correlation between performance and data model. The results show
Redis is better when the dataset is large and two databases have the same performance in insert operation when
dataset is small. In case complex query MongoDB is the best choice.}
    }