The invention relates to a system and method for realizing real-time data association in the big data environment. The system comprises an association scheduling framework, a distributed storage framework, a relational database and Redis servers, wherein the association scheduling framework is used for conducting intra-class association, inter association and concurrent scheduling on business objects; the distributed storage framework is used for establishing a connection pool for a master server of each Redis server, storing data related to current data association, sending cold data surpassing updating time limit and excessive data surpassing memory capacity limit to the relational database, and inquiring key values of intra-class association and inter association transferred to the relational database; the relational database is used for storing key values of intra-class association, key values of inter association, intra-class contexts and monitoring contexts. Through the adoption of the system and method, real-time association supporting mass streaming data can be realized, the demand of complex association in various conditions can be met, the model generality is high, and the application range is relatively wide.