In day-to-day life people rely on recommendation made by other people using surveys, guides, spoken words, news and media. Recommendation system implements algorithms for making recommendation. It provides assistance to choose best item from many products as per interest. Collaborative recommendation system is one of the popular method in recommendation system. It uses users' rating to evaluate recommendations. The complexity of collaborative recommendation system for computation is much higher as it has to compute large scale data and trail large scale systems. Hence for solving scalability of recommendation system, we implemented collaborative recommendation system over distributed computation platform, Hadoop.