شماره ركورد كنفرانس :
4753
عنوان مقاله :
Data processing in Cassandra vs MySQL: A comparative analysis in the query performance
عنوان به زبان ديگر :
Data processing in Cassandra vs MySQL: A comparative analysis in the query performance
پديدآورندگان :
Hosseini Seyyed Ali ali_hosseini@atu.ac.ir Allameh Tabataba i University, Tehran, Iran , Azadi Parand Fereshteh Allameh Tabataba i University, Tehran, Iran , Matinfar Farzam Allameh Tabataba i University, Tehran, Iran
كليدواژه :
NoSQL , RDBMS , Comparison , Cassandra , Big Data , Column Family , Distributed Database
عنوان كنفرانس :
اولين كنفرانس بين المللي محاسبات و سامانه هاي توزيع شده
چكيده فارسي :
Today, data generated massive, in extreme rates of speed and varies. Besides development of the Internet and social networks, electronic device, sen-sors and even turbines generate several gigabytes of data each day. In most ap-plications, the relational database management systems (RDBMS) are responsi-ble for storing and managing these data. But these databases cannot handle this volume of data efficiently due to architectural issues. So, other suitable databases should be replaced to meet the needs of storing and quick accessing to massive data. In the last few years, another class of database management systems called NoSQL are growing in popularity for managing the huge amount of data. This class of databases can handle a large amount of data and increase the speed of access to data. In this paper, we will describe the NoSQL databases and become familiar with the structure of Cassandra, a well-known NoSQL database, and finally, we compare its performance with the MySQL relational database and present experimental result
چكيده لاتين :
Today, data generated massive, in extreme rates of speed and varies. Besides development of the Internet and social networks, electronic device, sen-sors and even turbines generate several gigabytes of data each day. In most ap-plications, the relational database management systems (RDBMS) are responsi-ble for storing and managing these data. But these databases cannot handle this volume of data efficiently due to architectural issues. So, other suitable databases should be replaced to meet the needs of storing and quick accessing to massive data. In the last few years, another class of database management systems called NoSQL are growing in popularity for managing the huge amount of data. This class of databases can handle a large amount of data and increase the speed of access to data. In this paper, we will describe the NoSQL databases and become familiar with the structure of Cassandra, a well-known NoSQL database, and finally, we compare its performance with the MySQL relational database and present experimental result
