Nowadays patients like to have the option of staying at home in their illnessperiod. This can be realized through observing and monitoring the patientsmotion and temperature with an home care application. Sensors are placed in thehome and create a real-time stream which have to be analyzed.Data Stream Management Systems (DSMSs) and Complex Event Processingsystems (CEP) support real-time analysis of data streams which is a continuousordered sequence of tuples. There are some differences in the design andimplementation of these systems. We analyze these differences and similaritiesfor two such systems; TelegraphCQ, a DSMS and Cayuga, a CEP system, with afocus on how well they might suit the needs of home care application domain.Some of the most important criteria for a system in a home care environment areto have a system with a language that allows an application to formulateappropriate queries. In consideration of this we conclude that compared toCayuga, TelegraphCQ is the most capable system for home care domain. Thereason for this is that the query language of Cayuga has too limited expressiblity.And its operators are too difficult to use for expressing the queries that are typicalin this application domain.TelegraphCQ in contrast does report the correct value and time interval with thepossibility to use built in functions from SQL and do not demand query with lot ofcomplexity.The comparison is done in two parts; theoretical and practical. We focus ontopics like tuple definition, aggregation, consecutiveness, concurrency andoptimization. Through the first part we investigate the literature concerning thetwo types of systems. The second part consist of testing these systems in thehome care application domain. This part allows us to test the topics discussed inthe theoretical part.