MongoDB is a widely adapted NoSQL database, popular for storing structured and unstructured data. In the first part of this webcast, we present the performance impact by using different 'memory-to-database size' ratios for MongoDB running in an LPAR on IBM Z. In the second part, we will present results of the performance of different compression algorithms and how we can reduce the amount of the consumed disk space by MongoDB on IBM Z.

Presented by Dominic Roehm, Chief Performance Architect for Linux on IBM Z and Philipp Leutz, Software Engineer, Linux on IBM Z Performance.