The invention relates to a multivariate credit investigation query
system based on a
big data technology, and the
system comprises: a business subsystem which is configured to initiate a query requestto a query subsystem according to a query business; a query subsystem that comprises a synchronous query module and an asynchronous query module, wherein each of the synchronous query module and theasynchronous query module comprises an interface unit, a judgment unit, a storage unit and an
external communication gateway unit, wherein the query subsystem is used for verifying interface permission of query requests and acquiring data inside and outside a
bank, and the asynchronous query module also includes an asynchronous
queue unit that is used for performing batch
asynchronous processing on all the query requests. By adopting the synchronous query module, real-time query is realized, and the return efficiency is improved; by adopting the asynchronous query module, the query capabilityof the multivariate credit investigation query
system is increased from the query quantity, and the problem caused by high
concurrency is solved; and by integrating the data inside and outside the
bank, the ability of identifying credit and anti-fraud risks is improved.