Comparative Study of LevelDB and BadgerDB Databases on the Basis of Features and Read/Write Operations

Due to advent of huge complex datasets, key-value databases have achieved great demand for accessing data quickly and efficiently in comparison with relational databases. There are several key-value databases available, e.g., Level DB, Badger DB, MongoDB, etc. The data stores as a key—value pair that is so these databases perform all the operations on the dataset rapidly. In this paper the author’s purpose is to focus on two most famous key-value databases: Badger DB and Level DB and analyze the performance of both the databases. For this analysis the author created 10 different datasets for every read/write operation. This analysis study is based on the results carried out by instantiate, read, and write operations on these databases and therefore resulting how level DB is more efficient than Badger DB during read and write operations.