Since the rapid growth of applications on the cloud for data, correspondingly, the number of databases, operation and maintenance requirements, and security requirements are rising simultaneously. There is an urgent need for high availability, scalability of various databases in the data cloud, and reducing Reduce operation and maintenance costs by means of automated operation and maintenance. This research encompasses key technical architectures like the scalability and high availability of heterogeneous databases and self-healing in case of failures, as well as key technologies for high availability of data. It provides a rapid recovery mechanism with the minimum number of slices to avoid data security issues caused by data damage or tampering. At the same time, it provides incremental merging of snapshot file systems to avoid data availability issues caused by excessive time consumption during the database recovery process.