With the development of information service in hydrological industry, the related applications are calling for more comprehensiveand multisource data. The existing data management methods that organize the data separately by its category fail tomeet the demand of the users and hinder the integrated application of the data. To address the problem, this paper investigated thestate-of-the-art data management methods and proposed a Hydrological Data Integration and Index Model (HDIIM). The proposedmodel established an integral hydrological data index between the hydrological database and applications by building the data integrationlayer, which has achieved efficient retrieval and integration. By shielding the heterogeneity of multiple databases, HDIIM caneffectively support inter-database applications and data acquisition. The experiments demonstrate that the proposed model significantlypromotes the retrieval efficiency, especially for batch operations.