Migration is a complex process and involves many challenges like correct schema mapping, correct data transfer, indexing, and error fixing. The objective of data migration is to enhance the overall quality and usefulness of the data. Database migration is difficult to do manually, and numerous tools have been developed to simplify the complicated task. This paper outlines the existing data migration tools present in the market. We have classified the tools into two categories: 1. Academic research-based tools, 2. Industry-driven tools. Academic researchers developed and proposed Academic research-based tools, whereas Industry-driven tools are produced by many popular organizations like Google, Amazon, IBM, and Microsoft. Thus, this study aims to contribute to the state-of-the-art database migration field, an active area of research over the past decade. Additionally, it serves as a foundation for selecting and developing relational-to-NoSQL data migration tools. This paper proposes future research directions to facilitate the broader adoption of migration tools in Academia and Industry.