Software and hardware infrastructure for data stream processing

Abstract

In this paper state-of-the-art hardware and software technologies for stream data processing are reviewed. IBM InfoSphere Streams and Apache Spark are among of the most popular software products that alleviates burden of distributed program development for data analysis tasks. Capabilities of these systems are considered in application to the time series analysis. IBM InfoSphere Streams turns to be more suitable for online processing, whereas Apache Spark time series library focuses on a bulk processing of big collections of the time series.