In the past few years, Tweets have been widely used to perform Big Data analysis. However, the incredible amount of data captured by Twitter needs to be stored for further processing which may be a challenging task for many database systems. NoSQL is a 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 manage Tweets. This paper presents the requirements of managing Tweets and provides a detailed comparison of five NoSQL systems namely, Redis, Cassandra, MongoDB, Couchbase and Neo4j regarding these requirements. The five NoSQL systems are compared in a real scenario where we collect and analyze 1.000.000 Tweets. The chosen scenario enables to evaluate not only the performance of the read and write operations, but also other requirements related to Tweets management such as scalability, analysis tools support and analysis languages support. The obtained results show that Couchbase is the most suitable NoSQL systems for managing Tweets.
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