At the age of big data, faced the explosive growth of massive heterogeneous big data, the real-time supply capacity of enterprise index data needs to be improved comprehensively. The real-time computing method of big data index based on stream processing is composed of logs collection, message management, coordination management, real-time processing, and other parts. Not only open source software such as Hadoop, Zookeeper, Storm, Kafka, and Redis are used, but also the techniques of database log analysis, stream processing, and memory calculation are applied. This paper presents the discussion of the technical framework, implementation method and path of the real-time computing method of big data index based on Storm, and provides the algorithm verification process and result analysis.