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Description

DBConvert is a family of database migration and synchronization tools for specific database pairs. It moves database structure and data between SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, SQLite, Microsoft Access, Firebird, IBM DB2, FoxPro, Excel, and compatible cloud databases such as Amazon RDS, Azure SQL, Google Cloud SQL, Supabase, and Neon. Use DBConvert for one-time migrations or recurring one-way and bidirectional synchronization. It can create a new target database, transfer data into existing tables, and migrate tables, columns, indexes, views, and foreign keys. Synchronization jobs can apply inserted, updated, and deleted records between supported databases. A visual interface handles table and field mapping, data-type conversion, filters, and record-processing rules without requiring custom migration scripts. Large tables can be processed in parallel, and reusable jobs can be launched manually, on a schedule, or from the command line. Each edition supports a defined source-and-target combination, so customers can license the database pair required for a particular migration or synchronization project.

Description

Datanamic DataDiff serves as a robust and user-friendly tool designed for the comparison and synchronization of data across databases. It allows users to efficiently compare data from selected tables within two different databases, enabling quick and secure identification of differences and updates. With its adaptable comparison and synchronization settings, users can establish a personalized comparison key while choosing specific tables and fields for both comparison and synchronization processes. This utility proves invaluable for tasks such as data migration, verification of potentially corrupted data, and data auditing, among others. Each supported database utilizes tailored comparison and synchronization routines unique to its structure. Datanamic DataDiff is ideal for database administrators, developers, and testers seeking a straightforward, reliable method for comparing and synchronizing their database information. Additionally, it is particularly beneficial for organizations that operate across various types of databases and platforms, ensuring a seamless data management experience. Ultimately, Datanamic DataDiff enhances efficiency and accuracy in data handling processes.