The invention belongs to the technical field of data privacy protection, and particularly relates to a data privacy protection method in a hybrid cloud environment, which comprises the following steps: step 1, taking a DaaS bearing platform as a hybrid cloud, and analyzing the potential risk of data privacy leakage after the introduction of a cloud platform according to the characteristics of high-dimensional sparse data and a data release mode; step 2, on the basis of an anonymous segmentation strategy, analyzing a constraint scene with maximum data availability through a greedy strategy; step 3, analyzing the influence of noise addition on data availability by utilizing statistical search of interactive differential privacy protection; and step 4, for data error segmentation caused by parallel anonymous segmentation, reducing the data volume reserved on the private cloud by sharing the aggregation cluster. According to the method, information loss can be reduced, and the execution efficiency of the algorithm is improved, so that the feasibility and practicability of privacy protection of data are improved.