A Comparative Study of Distributed Tools for Analyzing Streaming Data

Continuous and rapid moving data known as streaming-data need to be analyzed in a short span of time, as the size of the data may overload the storage system quickly. Traditional tools often don't help significantly in the analysis of streaming data in real time. A large number of distributed tools have been developed to process streaming data in a real-time manner. In this paper, the state of the art of stream processing tools for low-latency Big Data analytics is presented. A qualitative comparison between the most popular tools like Apache Spark, Storm, Samza and Apache S4 is provided at the end the paper.