The dbForge Compare Bundle for SQL Server is a comprehensive package that includes two professional tools designed for comparing and synchronizing databases. Specifically, dbForge Schema Compare for SQL Server focuses on comparing and syncing database schemas, while dbForge Data Compare for SQL Server is designed to compare and synchronize table data.

This bundle offers database developers and managers all the essential functionality to spot differences between database versions and then seamlessly deploy changes to staging and production environments.

Key Features:

Edit and improve readability and preserve the original structure

• Detect all differences between SQL Server databases

• Visually manage comparison results for easy interpretation

• Identify and correct errors

• Choose between full or partial synchronization down to the individual row

• Opt for manual or automated synchronization methods

• Generate synchronization scripts for record-keeping

• Deploy changes across SQL Server, Azure SQL, and Amazon RDS

• Execute tasks automatically via the command line

• Integrate effortlessly with SQL Server Management Studio

Compare and synchronize database schemas accurately and optimize your deployment workflows with dbForge Schema Compare for SQL Server.

Key Features:

• Support for live databases, native backups, snapshots, and script folders

• Comprehensive interactive reports on the comparison results in HTML format

• Export into HTML, XLS, and XML formats

• Manual and automated deployment of changes between development and production environments

• Script generation for database deployment

• Change history tracking

• Command-line interface for automating deployment routines

• Implementation of Continuous Integration for database deployment

Compare and align table data between databases, customize processes to suit your requirements, and synchronize data effortlessly with the dedicated wizard.

Key Features:

• Support for live databases, native backups, and script folders

• Compatibility with SQL Server and SQL Azure Cloud table data

• Efficient handling of large data volumes

• Comparison of static data against a version-controlled database

• Analysis of custom query results

• Single-row data recovery from backups

• Deployment of changes to SQL Server, SQL Azure, and Amazon RDS

• Script generation for data synchronization updates

• Process automation through the command-line interface

• Detailed comparison reports available in HTML, XLS, and CSV formats