Big data management systems are migrating from software-centric computing platforms to data-centric computing platforms, and traditional relational databse management systems (a.b.a. RDBMS) do not entirely meet the need for data-centric data management. Hence, it is urgent to design a new kind of big data management systems. In thisThe paper, we first reviews the history of the development of data management systems. Second, we it analyzes the current situation of big data management systems in terms of data storage, data model, and query engines of big data management systems, and points out that current big data management systems have the characteristics of modularity and loose coupling. After that, the data characteristics and application characteristics of the big data management systems are we introduced the data characteristics and application characteristics of the big data management systems,, and it is pointed out that big data management systems are still rapidly evolving, but do not mature. Finally, the future of big data management systems is we predicted, i.e., the future of big data management systems. Big big data management systems in future should have the characteristics of multiple data models coexistence, multi-computation platform fusion, elastic adjustment, new hardware driven, self-adaptive tuning, and so on.