dbForge Schema Compare for PostgreSQL 1.0.52dbForge Schema Compare for PostgreSQL
dbForge Schema Compare for Redshift/PostgreSQL is a tool for easy and effective comparison and deployment of Redshift database structure differences. The tool gives a comprehensive view of all differences in Amazon Redshift database schemas and generates clear and accurate SQL synchronization scripts to update the database schemas.
dbForge Schema Compare for PostgreSQL 1.0.52 details
|Released:||Sep 3, 2020|
|File size:||35.08 MB|
|Keywords:||postgres schema compare, postgres schema diff, postgresql compare two database schemas, postgresql synchronize databases, postgres sync databases, postgresql synchronization, redshift schema compare, redshift synchronization|
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dbForge Schema Compare for PostgreSQL for Windows 10 - Full description
dbForge Schema Compare for Amazon Redshift and PostgreSQL is a tool for easy and effective comparison and deployment of Redshift database structure differences. The tool gives a comprehensive view of all differences in Amazon Redshift database schemas and generates clear and accurate SQL synchronization scripts to update the database schemas. Key features: Supported Databases - Amazon Redshift, Postgre Databases (support is restricted), Amazon RDS for PostgreSQL (support is restricted), Azure PostgreSQL (support is restricted) Supported Schema Objects - Schemas, Tables, Views, Procedures, Functions, Comments. Schema Comparison Result Analysis * Filter, group and sort object in results * View DDL differences for each object pair * Preview the schema update script for each object Synchronization features * Generate deployment scripts * Migrate any schema differences * Dependency check to script objects * Automatic resolution of sync issues * Warnings on controversial points prior to sync * Compare and sync pre-object security permission Non-Schema Object Comparison - Along with database schema objects, the solution allows comparing and synchronizing pre-object security permissions. Code Comparison - The solution allows you to efficiently compare PLPgSQL and Python code.