Massive COMTRADE data storage system should have high I/O performance and good scalability to meet current and future data management needs in an era of big data. This paper is concerned with a high I/O performance stream storage mode based on a Lustre distributed file system. The mode is able to meet the demand for I/O and concurrent access applied in collecting and online analyzing massive COMTRADE data by the gathering device. A multi-clients mode on Lustre and a method of packing multiple COMTRADE files into one big file are adopted to significantly improve I/O scalability. Experimental results show that the mode with its high I/O performance is up to requirement. This work is supported by National Natural Science Foundation of China (No. 51267009).