In this paper, we report on an evaluation of four representative Big Data management systems (BDMSs): Mon-goDB, Hive, AsterixDB, and a commercial parallel shared-nothing relational database system. In terms of features, all offer to store and manage large volumes of data, and all provide some degree of query processing capabilities on top of such data. Our evaluation is based on a micro-benchmark that utilizes a synthetic application that has a social network flavor. We analyze the performance results and discuss the lessons learned from this effort. We hope that this study will inspire future domain-centric evaluations of BDMSs with a focus on their features.