The invention provides a real-time data access quality monitoring method based on a massive big data platform and aims to solve the problem that there is no detection method for data access quality detection in existing technical schemes. The real-time data access quality monitoring method comprises the steps that a big data platform and data source sides are monitored in real time, and when the data source sides send data to the big data platform, the steps are as follows: the data number of the data received by the big data platform is calculated according to the data received by the big data platform from the data source sides and serves as receiving quantity; the data number of data sent and counted by the data source sides are obtained and serves as a comparative quantity; according to the receiving quantity and the comparative quantity, the actual data leakage point rate is calculated; according to the actual data leakage point rate and a preset data leakage point rate threshold value, whether an alarm is needed or not is judged. The method has the advantages that the actual data leakage point rate is obtained by comparing the data number counted by the data source sides and the data number obtained by the big data platform, early warning is performed according to the actual data leakage point rate, and thus data access quality monitoring is achieved.