Data modelling for discrete time series data using Cassandra and MongoDB

Abstract

With the current emphasis on big data and its applications, the NoSQL databases have surged in popularity. One of the possible application of the NoSQL databases is the efficient storage of discrete time series data. Cassandra, because of its sequential data storage mechanism and MongoDB, because of its flexible schema and rich query language are ideal fits for storing discrete time series data. In this paper, we present a few data modelling schemes in Cassandra and MongoDB to store the discrete time series data.