dbForge Studio for PostgreSQL
dbForge Studio for PostgreSQL is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to your requirements in a convenient and user-friendly interface.
SQL Development
Save your time and improve code quality when creating and editing queries.
Explorer
Navigate through the object tree and find any PostgreSQL object you are interested in.
Data Editor
Users can manage the settings of tables.
Data Export and Import
Supports 10+ widely used data formats, a number of advanced options, and templates for recurring scenarios.
Query Profiler
It allows you to identify queries with the longest duration, analyze whether they can be optimized, and compare the results before and after optimization.
Data and Schema Compare
The tool allows to compare and synchronize PostgreSQL database data and schemas, and synchronize tables between PostgreSQL and Redshift databases.
Data Generator
Designed to generate huge amounts of realistic test data and accurately visualize the generated data in real time.
Pivot Table
Visual Pivot Table Designer, advanced filtering, visual data presentation in a graph.
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dbForge Schema Compare for SQL Server
dbForge Schema Compare for SQL Server is a robust tool designed for comparing and synchronizing schemas in SQL Server databases. It supports live databases, snapshots, and native backups as data sources, identifying all discrepancies in the schemas. These discrepancies are displayed in a clear and informative visual interface, enabling users to synchronize changes immediately, either fully or selectively, and deploy them onto supported platforms.
Key Features:
- Easy task configuration through intuitive wizards
- Identification of changes between development and staging/production databases
- Restoration of missing or damaged schema objects from native backups
- Deployment of changes to SQL Server, SQL Azure, and SQL Server on Amazon RDS
- Generation of schema synchronization scripts that can be executed immediately or saved for future use
- Automation of regular schema synchronization tasks via the command line
dbForge Schema Compare for SQL Server integrates with SQL Server Management Studio (SSMS), providing a seamless experience for database developers and managers. Its user interface is similar to SSMS, offering a familiar environment.
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dbForge Data Generator for SQL Server
dbForge Data Generator for SQL Server is a robust tool crafted to assist database professionals in creating high-quality test data in any amount within short time.
Key Features:
- Generation of meaningful test data: IDs, phone numbers, credit card numbers, email addresses, postcodes, and more
- Extensive predefined and custom generators: use over 200+ predefined generators or create unlimited custom generators
- Data integrity support: Maintain inter-column data dependencies.
- Versatile data generation: Generate data for all column types, including XML, datetime, etc.
- Automation capabilities: Automate tasks using the command line interface.
- Task scheduling: Schedule tasks with PowerShell.
- Integration with SSMS: Incorporate data generation functionality directly into SSMS.
dbForge Data Generator for SQL Server empowers testers to generate large volumes of data with flexible configurations, ensuring the correct data types for testing database operations and applications. Its integration with SSMS allows database specialists to seamlessly integrate data generation features into their preferred integrated development environment (IDE).
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dbForge Studio (Edge)
dbForge Edge is the newest Devart product - the multidatabase software solution covers all database-related jobs, allowing its users to accelerate the tasks' completion, save costs, and improve overall productivity. A set of powerful features applies to all most popular database management systems - MySQL and MariaDB, SQL Server, Oracle, and PostgreSQL.
Notice the most helpful features of dbForge Edge:
Database design & development.
Data and schema management.
Data analysis.
Reporting.
Database administration.
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