||Based on publications indexed in Web of Science (WoS) of Clarivate from 2009-2015, this paper presents a comparative analysis of big-data related research produced by the USA and China in terms of publication productivity, interdisciplinarity, funding support and research topics from bibliometric perspectives. With exponential growth, both China and the USA have kept the leading positions in publication productivity. The year 2012 can be considered as a turning point of the USA when big data R&D became a national strategy. Although staring later, China develops faster and eventually caught up with the USA in 2015. The US researchers outperform their Chinese colleagues in high-quality papers as measured by the proportions of top-1% and top-10% most-frequently cited publications, and, indeed, publish in broader research areas. With a substantially higher percentage of funded publications, China has a higher degree of government involvement in big data research. Major funding agencies, the National Natural Science Foundation of China (NSFC) and the National Science Foundation (NSF) of the USA, for instance, have been able to provides specific support to big data research in multiple areas. Despite some differences related to big-data applications and certain social problems, China and the USA share similar research topics in core methods and technologies.