dbForge Data Compare for PostgreSQL is a powerful tool designed to streamline the comparison and synchronization of PostgreSQL database tables, ensuring data consistency and integrity across your systems.

• Efficient Data Comparison and Synchronization: Quickly identify and reconcile differences between PostgreSQL tables, saving time and reducing errors in data management.
• Customizable Comparison Options: Tailor the comparison process by selecting specific tables, views, and columns, and apply filters to focus on relevant data, enhancing precision in data analysis.
• Comprehensive Reporting: Generate detailed comparison reports in Excel or HTML formats, facilitating clear communication of data differences and synchronization actions to stakeholders.
• Flexible Synchronization Scripts: Automatically create accurate synchronization scripts to update target databases, with options to execute immediately or save for later use, ensuring controlled deployment of data changes.
• Command-Line Automation: Automate routine data comparison and synchronization tasks using the command-line interface, integrating seamlessly into existing workflows and scheduling processes.
• Cross-Platform Compatibility: Run dbForge Data Compare on Windows, Linux, and macOS systems, providing flexibility and convenience across different operating environments.
• Support for Multiple PostgreSQL Versions: Compatible with PostgreSQL versions from 8.4 to 17, as well as Amazon Redshift, ensuring broad applicability across various database setups.
• Advanced Data Type Support: Handle complex data types, including JSON, JSONB, Range, PostGIS, and Domain types, facilitating comprehensive data comparison and synchronization.
• Intuitive User Interface: Navigate through data differences with ease using a user-friendly interface that simplifies the analysis and management of database discrepancies.
• Custom Query Comparison: Compare actual tables with custom query results and specify WHERE clauses to exclude unwanted rows, offering flexibility in data analysis.