%0 Journal Article %1 lourenco2015choosing %A Lourenço, João R %A Cabral, Bruno %A Carreiro, Paulo %A Vieira, Marco %A Bernardino, Jorge %D 2015 %I Springer %J Journal Of Big Data %K base bibsonomy big data db nosql toread %T Choosing the right NoSQL database for the job: a quality attribute evaluation %U http://www.journalofbigdata.com/content/2/1/18 %X For over forty years, relational databases have been the leading model for data storage, retrieval and management. However, due to increasing needs for scalability and performance, alternative systems have emerged, namely NoSQL technology. The rising interest in NoSQL technology, as well as the growth in the number of use case scenarios, over the last few years resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies. While most research work mostly focuses on performance evaluation using standard benchmarks, it is important to notice that the architecture of real world systems is not only driven by performance requirements, but has to comprehensively include many other quality attribute requirements. Software quality attributes form the basis from which software engineers and architects develop software and make design decisions. Yet, there has been no quality attribute focused survey or classification of NoSQL databases where databases are compared with regards to their suitability for quality attributes common on the design of enterprise systems. To fill this gap, and aid software engineers and architects, in this article, we survey and create a concise and up-to-date comparison of NoSQL engines, identifying their most beneficial use case scenarios from the software engineer point of view and the quality attributes that each of them is most suited to.

@article{lourenco2015choosing, abstract = {For over forty years, relational databases have been the leading model for data storage, retrieval and management. However, due to increasing needs for scalability and performance, alternative systems have emerged, namely NoSQL technology. The rising interest in NoSQL technology, as well as the growth in the number of use case scenarios, over the last few years resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies. While most research work mostly focuses on performance evaluation using standard benchmarks, it is important to notice that the architecture of real world systems is not only driven by performance requirements, but has to comprehensively include many other quality attribute requirements. Software quality attributes form the basis from which software engineers and architects develop software and make design decisions. Yet, there has been no quality attribute focused survey or classification of NoSQL databases where databases are compared with regards to their suitability for quality attributes common on the design of enterprise systems. To fill this gap, and aid software engineers and architects, in this article, we survey and create a concise and up-to-date comparison of NoSQL engines, identifying their most beneficial use case scenarios from the software engineer point of view and the quality attributes that each of them is most suited to.}, added-at = {2015-10-07T14:39:12.000+0200}, author = {Lourenço, João R and Cabral, Bruno and Carreiro, Paulo and Vieira, Marco and Bernardino, Jorge}, biburl = {https://www.bibsonomy.org/bibtex/2aeba0bea5834c4aa37d5f72ba48d3e87/hotho}, description = {Journal Of Big Data | Full text | Choosing the right NoSQL database for the job: a quality attribute evaluation}, id = {10.1186/s40537-015-0025-0}, interhash = {79822c90404d2fa1a58c2d6d7cbe5c96}, intrahash = {aeba0bea5834c4aa37d5f72ba48d3e87}, journal = {Journal Of Big Data }, keywords = {base bibsonomy big data db nosql toread}, publisher = {Springer}, timestamp = {2015-10-07T15:10:28.000+0200}, title = {Choosing the right NoSQL database for the job: a quality attribute evaluation}, type = {Research}, url = {http://www.journalofbigdata.com/content/2/1/18}, year = 2015 }