Cassandra vs. MongoDB: A Systematic Review of Two NoSQL Data Stores in Their Industry Uses

Cassandra vs. MongoDB: A Systematic Review of Two NoSQL Data Stores in Their Industry Uses

연구 분야: Databases

학회: 2024 IEEE 7th International Conference on Big Data and Artificial Intelligence (BDAI)

This paper analyzes two NoSQL data stores: the column-family data store with Cassandra as an example and the document-oriented data store using MongoDB as another example. By conducting a systematic review, this article examines the challenges and opportunities for the most recent industrial applications of these two data stores. As NoSQL data stores, both Cassandra and MongoDB are capable of processing live streaming data. In this systematic review, their applications in storing weather data, traffic data, radio spectrum data, live news data, and spatial data are discussed and compared.