Traditional big data trading markets focus on facilitating big data transactions, similar to ordinary commodity trading platforms. Their main functions lie in data catalog management and transaction management in the transaction process. This traditional mode has many drawbacks. Except for public data, considering data security, privacy, data abuse, or damage to own competitive advantages due to data sharing, data owners are still cautious about data exchange. At the same time, companies have limited understandings of data in many fields, which also restricts data exchange. The capacity output cannot be fully achieved by the data catalog alone. To effectively address the above drawbacks, this paper designs a big data trading market platform. The system uses Spring MVC to build the overall back-end architecture and integrates Redis, Mybits, and other technologies to provide data institutions with public Hive clusters for saving data sets. Moreover, it realizes the functions of data set purchase, sample data viewing, and user screening of data set content.