Comparison of platforms for high frequency data processing

The aim of this paper is to find and compare existing solutions of complex event processing platforms (CEP). We intend to use CEP platform for prediction of complex time series and integrate a solution for newly proposed method of decision making. As there are lots of solutions we will take the following characteristics under consideration - the processing in real time, possibility of processing of high volume data from multiple sources, platform independence, platform allowing integration with user solution. At first we will talk about existing CEP tools and their specific way of use in praxis. Then we will mention the design of method for formalization of business rules used for decision making. Afterwards, we focus on two platforms which seem to be the best fit for integration of our solution and we will list the main pros and cons of each approach. Final part is devoted to benchmark platforms for CEP.