Abstract: Database management systems(DBMS), which offer dependable data storage and retrieval techniques, are essential parts of contemporary applications. However, preserving consistency between database instances can be extremely difficult in dynamic development settings with several teams and running concurrent processes. Data inconsistencies and schema incompatibilities are frequently caused by manual error, platform-specific variations, and frequent changes. Existing database synchronization solutions are frequently platform-specific, concentrate on either schema or data comparison, and fall short in fully addressing both issues. In order to automate the process of schema and data comparison across diverse DBMS systems, such as MySQL, PostgreSQL, and Microsoft SQL Server, this paper proposes a Database Comparison Tool. Additionally, the application creates SQL scripts to synchronize differences, which improves database consistency and minimizes manual labor. The tool guarantees scalability and user-friendly interaction using a modular design built with Flask (backend) and React.js (frontend). Results from experiments show how accurate and efficient it is at managing big databases, meeting a crucial demand for database administrators and developers.

Keywords: Automation, Schema Comparison, Data Integrity, Database Discrepancy Detection.

| DOI: 10.17148/IARJSET.2025.125283