Provided are a network analytic system and method based on the mass data real-time processing technology. The system comprises a plurality of data adaptive nodes and data analytic clusters which are composed of a plurality of data analytic nodes and arranged in a network in a distribution mode, wherein the data analytic nodes support a P2P networking mode and a load balancing mechanism, so that the data analytic clusters have a telescopic function; the flow line type analytic processing process is completed among the data analytic nodes through an incident mechanism. According to the network analytic system and method supporting the real-time mass data processing, mass network data including operations of network fault monitoring, statistics, trouble shooting, diagnosis and the like can be analyzed and processed in real time, the network data can be analyzed in a fine mode, distribution type dynamic expansion is supported to expand system functions, and users can expand demands of themselves according to the analytic types to be detected in a self-defined manner. Furthermore, a distribution type structure is utilized by the system without excessively depending on single hardware performance, and the system can complete processing of complex logics of network data analysis and the like better. The system and method support multiple types of processing logics and lower the requirements for professional qualification of developers.