DbForge Studio for PostgreSQL v.3.0

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.
The tool provides a data editing tool to customize your queries and property window so that users can view all the required information of PostgreSQL database objects they are interested in.
-SQL Development
Save your time and improve code quality when creating and editing queries with the following features:
*List Members
*Parameter Info
*Quick Info
*Complete Word
-Database Explorer
Navigate through the object tree and find any PostgreSQL object you are interested in. Right-click the required object in the Database Explorer window to perform the following tasks:
*Retrieve data from the database on a single SQL document
*Truncate a table
*Select Properties to view information on the object
Data Editor
Editing table data becomes a simple task with dbForge Studio for PostgreSQL. Users can manage settings of tables, such as adjust column width, set either paginal or auto-search mode by default. Color and format the rows and cells using a rich set of fonts and size. Additionally, the tool provides users with predefined data type formats so that you can select the most suitable for your needs.
Data Export and Data Import
Crucial tools for filling a database with external source data and migrating data between systems. dbForge Studio for PostgreSQL supports 10+ widely used data formats, a number of advanced options, and templates for recurring scenarios.
Query Profiler
The functionality of Query Profiler 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, as well as synchronize tables between PostgreSQL and Redshift databases.
Data Generator
dbForge Data Generator is designed to generate huge amounts of realistic test data and accurately visualize the generated data in real time.
Pivot Table
Using this tool, you don't need to go into PostgreSQL subtleties to group and summarize your data. Visual Pivot Table Designer, advanced filtering, visual data presentation in a graph make your data easier to read, understand, and analyze.
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- DbForge Studio for PostgreSQL
- 3.0
- 30 Jan 23
- Devart
- Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, Windows 11, WinServer, WinOther, Windows2000, Windows2003, Windows Server 2000, Windows Server 2003, Windows Server 2008, Windows Server 2008r2, Windows Server 2012, Windows Tablet PC Edition 2005, Windows Media Center Edition 2005, WinVista, Windows Vista, WinVista x64
- Shareware
- 55.53 Mb
- 712
- $129.95
Version | Date Released | Release Notes |
3.0 | 30.01.2023 | - Added support for Linux and macOS - Added new Professional Edition, which includes: Data Compare, Schema Compare, Data Generator, Export of Query History to the CSV format - Command-line support for the following functionality: Data Compare, Schema Compare, Data Generator, Execute Large Scripts |
2.3.212 | 12.08.2020 | - Script Generator Improvements - SQL Formatter Improvements - Query Profiler Improvements |
2.2 | 01.10.2019 | - Connectivity support for PostgreSQL 12 - Support for Amazone RedShift - Generate Script AS CREATE for Source Objects - SQL Code Formatter - Cached Update mode in Data Eidtor - Dramatically improved performance of Large Script Execution |
2.1 | 06.05.2019 | New features - Connectivity Support for Greenplum DB - Query Profiler functionality Improved features - Code Completion - Database Explorer - Execute Large Script wizard |
2.0 | 10.12.2018 | Standard Edition -Data Import and Data Export -Master-Detail Browser -Data Reports -Pivot Table -SQL Snippets -Query Execution History -Execute Large Script -SQL Document |
1.0 | 20.03.2018 | First release of dbForge Studio for PostgreSQL |
Review DbForge Studio for PostgreSQL
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