Distributed Streaming Storage Performance Benchmarking: Pravega and Pulsar

Massive data shoving can reach the greatest throughput, which is necessary for distributed streaming storage to function at its best. The comparison of the distributed streaming storage systems Pulsar and Pravega for a given number of producers and data packet size is covered in detail in this study. This analysis' benchmark tool accommodates several producers and consumers. When connection pooling is enabled and 0.5 million records are thrust at a 10 Mbps data rate, both streaming storages are assessed for latency percentile comparison. A novel idea called sbk-charts is introduced in the current study, which can create practical charts from CSV files. Multiple CSV files can be joined by sbk-charts to construct a single combined xlsx file with helpful charts. The outcomes of the experiment are then evaluated for performance comparison in a number of dimensions.