NoSQL systems are a new generation of databases that aim to handle a large volume of data. However there is a large set of NoSQL systems, each has its own characteristics. Consequently choosing the suitable NoSQL system to handle Tweets is challenging. Based on these motivations, this work is carried out to find the suitable NoSQL system to store, preprocess and analyze Tweets. This paper presents the requirements of managing Tweets and provides a detailed comparison of five of the most popular NoSQL systems namely, Redis, Cassandra, MongoDB, Couchbase and Neo4j regarding to these requirements. The results of this work show that for Tweets storing, preprocessing and analyzing, MongoDB and Couchbase are the most suitable NoSQL systems. Unlike related works, this work compares five NoSQL systems from different types in a real scenario which is Tweet storing, preprocessing and analyzing. The chosen scenario enables to evaluate not only the performance of read and write operations, but also other requirements related to Tweets management such as scalability, analysis tools support and analysis languages support.
翻译：NoSQL 系统是新一代数据库,旨在处理大量数据。然而,有一套庞大的 NoSQL 系统,每个系统都有自己的特点。因此,选择合适的 NoSQL 系统处理 Tweets 具有挑战性。基于这些动机,开展这项工作是为了找到合适的 NSQL 系统储存、预处理和分析 Tweets 。本文介绍了管理 Tweets 的要求,并详细比较了五个最受欢迎的 NSQL 系统,即 Redis、 Cassandra、MongoDB、MogoDB、Couchbase和Neo4j, 与这些要求有关。 这项工作的结果显示,对于 Tweets 储存、预处理和分析, MongDB和 Couchbase是最合适的 NSQL 系统。 与相关的工程不同, 这项工作比较了5个不同类型的 NSQL 系统, 真实的情景是 Tweet 储存、预处理和分析。 所选择的情景不仅评估读写操作的性, 而且还评估与Tweets 管理有关的其他要求,例如可缩放性、分析工具支持和分析语言支持。
相关内容
微信扫码咨询专知VIP会员