EMS Data Comparer for PostgreSQL is a Windows application designed to compare and synchronize data between PostgreSQL database tables. It allows users to identify differences in table data and generate scripts to resolve these discrepancies. The tool provides both a graphical wizard for step-by-step guidance and a command-line utility for automated or scheduled operations. It supports partial and multi-table comparisons, customizable filters, and a wide range of synchronization options, making it suitable for database administrators and developers managing PostgreSQL environments.

Key Features

User-friendly wizard interface Guides users through the data comparison and synchronization process.

• Step-by-step workflow for ease of use
• Reduces risk of errors during setup

Multi-table comparison Allows simultaneous comparison of several tables.

• Saves time for large databases
• Efficiently handles related data across tables

Automatic and manual data selection Choose which tables and fields to compare or synchronize.

• Full control over comparison scope
• Supports both broad and targeted operations

Data comparison filters Apply filters to focus on relevant data subsets.

• Increases comparison precision
• Reduces unnecessary processing

Partial data synchronization Synchronize only selected data or records.

• Minimizes data transfer
• Useful for incremental updates

Synchronization script generation Automatically creates scripts to resolve detected differences.

• Scripts can be reviewed and reused
• Supports auditing and repeatability

Command-line utility Enables automated or batch comparison and synchronization.

• Suitable for integration into workflows
• Supports unattended operations

Support for all PostgreSQL data types Handles all standard and custom data types in PostgreSQL.

• Ensures compatibility with diverse schemas
• No data type limitations

Benefits

Accurate and efficient data management Ensures data consistency between PostgreSQL databases.

• Reduces risk of errors from manual synchronization
• Saves administrative time and effort

Flexible customization Adapts to various database structures and synchronization requirements.

• Supports complex comparison scenarios
• Allows fine-tuning for specific needs

Automation and repeatability Facilitates regular database maintenance with minimal manual intervention.

• Command-line support for scheduling
• Saves parameter settings for future use