A proposito di dbForge Studio for PostgreSQL

IDE multifunzionale per lo sviluppo e la gestione di 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 their requirements in a convenient and user-friendly interface. The tool also provides functionality for PostgreSQL data reporting, data editing, data import and export, building pivot tables and master-detail relations.

dbForge Studio for PostgreSQL - Standard Features:

SQL Development

  • SQL editor with syntax highlighting, bookmarks, and text search.
  • SQL Query History.
  • Execute Large Script.
  • Code snippets.
  • Context-sensitive code completion.
  • Phrase completion.
  • Query Profiler.
  • Quick information about schema objects.
  • SQL Code Formatter.
  • Generate object DDL script.
  • Execution Notification.
  • Transaction Reminder.

Data Pump

  • Data Export to 14+ file formats.
  • Data Import from 10+ file formats.

Data Analysis

  • Enhanced visual data editor.
  • Pivot tables.
  • Master-detail browser.

Cloud Compatibility

  • Digital Ocean's Managed Database.
  • YugabyteDB.
  • AWS Babelfish.
  • CitusData.
  • Neon tech.
  • ApsaraDB RDS.
  • PolarDB.
  • ElephantSQL.
  • Azure Database for PostgreSQL.
  • Greenplum DB.
  • Amazon RDS.
  • Amazon Aurore.
  • Amazon Redshift.
  • IBM Cloud for PostgreSQL.
  • Heroku.
  • Alibaba Cloud.
  • Bit.io.
  • AnalyticDB.
  • Amazon Aurora.

General

  • Database Explorer window with multi-selection tree.
  • Support for SSH connections.
  • Support for SSL connections.
  • Connection coloring and document categories.
  • Full shortcut customization.
  • Wizard for exporting/importing user settings.
  • Support for multiple monitors.
  • Vector HiDPI skins.

dbForge Studio for PostgreSQL - Professional Features (everything included in Standard plus the following):

SQL Development

  • SQL Formatter Wizard.

Data Pump

  • Command-line interface for data import/export.

Data Generation

  • Data generation with inter-column dependency.
  • Data generation with RegExp and Python.
  • Generate JSON data based on templates.
  • Command-line interface for data generation.

Database Synchronization

  • Schema comparison and synchronization tool.
  • Command-line interface for schema comparison and synchronization.
  • Data comparison and synchronization tool.
  • Command-line interface for data comparison and synchronization.

Data Analysis

  • Data reports.
  • Command-line interface for Data Report.

General

  • Command-line interface support.