In this paper, we address aspects of the challenge facing the Data Integration solutions in the problem of increasing the scalability. We first overview our results in data integration and present our prototype. Searching for a motivation to employ the agent-based technology and envision how this technology can be applied to improve the system scalability represent the next step of our research. For that, we examine some formal definitions and metrics of scalability which fit the purpose of system description. The analysis of our data integration solution, a change propagation system called Champagne, identifies the system components having the most influence on the scalability problem. We propose to employ the agent-based technology to improve the scalability and perform some experiments which reveal our work.