Data outsourcing to reliable centers for data maintenance, protection and accessibility is simple and low-cost and does not require physical infrastructure, hardware, software and human resources. However, real-world events and recent researches have shown that even reliable centers can abuse users' trust. For example, 1) make changes in the data they have, 2) delete them, or 3) make them temporarily/permanently unavailable. Data audit methods assure the data owners that the data recorded in the database is the same as the data sent by the user and reveals the changes made in it. But they only solve the first problem. In 2008, the introduction of a technology called blockchain, which had several attractive features such as transparency, immutability, and autonomy, caused the problems of many systems that needed the mentioned features to be solved. In this article, after reviewing and addressing several blockchain-based data auditing architectures and protocols, we review and analyze their general framework. Finally, we compare the reviewed works and specify some future horizons of this field.