dbForge Studio for PostgreSQL for Linux 3.1
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56.3 MB

dbForge Studio for PostgreSQL for Linux 3.1

A GUI for database development and management
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56.3 MB

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 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
Users can manage settings of tables, such as adjust column width, set either paginal or auto-search mode by default.

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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