Integrating Polystore RDBMS with Common In-Memory Data

A polystore system is composed of multiple heterogeneous databases which are used to store data that best suites its features for faster processing and querying. A single database does not fit all data formats, which has resulted in the development of a polystore system that leverages databases belonging to different categories such as relational, NoSQL, and NewSQL. Retrieving data from relational databases for analytics is a costly operation. This paper presents an extension to a polystore system which queries data from different relational databases using a standard in-memory data format for analytical queries with low latency.