Document oriented NoSQL databases: An empirical study

Abstract

In today’s era, organizations are developing applications which continuously and rapidly generates large amount of data. In this world of big data, NoSQL databases are rapidly becoming popular for storing information among organizations. Therefore, it is essential for an organization to choose a database which is compatible and efficient for their applications. To choose a correct database, it is essential to examine the performance of various databases under diverse workload conditions. In this paper, we are examining different document oriented databases on various workloads, so that we can categorize them according to application need. The evaluation has been performed on four NoSQL document oriented databases: MongoDB, ArangoDB, Elastic search and OrientDB with the help of Yahoo Cloud Service Benchmark (YCSB), which is a popular benchmark tool. Comparison is done in two parts: In the first part, all the databases are compared for single thread on the basis of throughput and runtime. Here, Mongo DB shows better results with highest throughput and lowest runtime among all the databases. In the second part, a thorough analysis is done in which MongoDB and ArangoDB are compared for some threads on different workloads. Here also, Mongo DB outperforms ArangoDB with a high percentage.