When comparing DataGrip vs DbForge Studio for PostgreSQL, the Slant community recommends DataGrip for most people. In the question“What are the best GUI tools for PostgreSQL on Windows?” DataGrip is ranked 1st while DbForge Studio for PostgreSQL is ranked 4th. The most important reason people chose DataGrip is:
DataGrip is not a language-specific IDE. It supports a wide variety of languages by default, such as PostgreSQL, MySQL, Oracle, Microsoft SQL Server, Derby, H2, Sqlite, and many more. You can also specify your own JDBC drivers to get support for additional platforms.
Ranked in these QuestionsQuestion Ranking
Pro Supports multiple languages
DataGrip is not a language-specific IDE. It supports a wide variety of languages by default, such as PostgreSQL, MySQL, Oracle, Microsoft SQL Server, Derby, H2, Sqlite, and many more.
You can also specify your own JDBC drivers to get support for additional platforms.
Pro Beautiful and customizable UI
DataGrip currently provides two theme options, light and dark. The UI is intuitive to navigate and provides powerful features such as a diagram view of table relationships.
Pro Powerful data editor
A powerful data editor lets you add, remove, edit, and clone data rows. Navigate through the data by foreign keys and use the text search to find anything in the data displayed in the table editor. All your changes are stored locally and can be submitted at once. Multiple fields can also be edited at once.
Pro Version control support
DataGrip supports a wide variety of VCS tools out of the box so that you can edit, test, and commit changes without ever leaving the tool.
Pro Helps you avoid mistakes
It can catch SQL bugs and suggest ways to resolve them. It will inform of unresolved objects and the use of keywords as identifiers.
Pro Refactoring support
You can refactor SQL code with DataGrip — it resolves all references automatically and when an object/variable is renamed, you can choose to update all references to it in your project.
Pro Much more powerful than its counterparts
DataGrip is a full-featured IDE for working with databases and SQL. It includes commonly found features in database clients, and offers IDE-specific features beyond that — version control, autocompletion, refactoring support, etc.
Pro Excellent code completion
DataGrip's code completion is context-sensitive and schema-aware code completion. It will take into account tables structure, foreign keys, and even database objects created in your code.
Pro Advanced code completion features
Prompting the names of existing materialized views, as well as context prompting of database objects
Pro Query Profiler
Helpful diagrams of query execution, and also the list of operations that takes place on the server
Pro Data Editor
The data can be edited in the same way as with Google Sheets/MS Excel or in the card view mode.
Pro SQL Code Formatter
Automatic formatting of SQL Code based on user-chosen code styles
Pro Data Export/Import
10+ file format support, including Google Sheets
Pro Master-Detail Browser
The 'design view' for setting up relations between tables, smart sorting, and filtering
Pro Code complition
Prompting keywords for functions etc.
Pro High execution speed
Downloading the main_ExceptionFrames.sql file of 100 Mb in size ~ 1 min
Pro Cached update mode in Data Editor
Allows to control data editing within database objects
Pro Generate Script AS feature
Allows generating a script for the CREATE statements for specific database objects (views, materialized views, triggers, functions, procedures)
Pro Object Explorer
Provides a quick navigation through the object tree
Pro File format support
Dozen of file formats are supported, including Google sheets.
Con Not user friendly
This is an annual subscription with tiered pricing that diminishes a small amount year over year. But there are other much cheaper or free alternatives. This is the premium priced product of the bunch.
Con Performance can be slow/sluggish when working with high-volume databases
As with all other IDEs, DataGrip is powerful and thus requires more resources than usual. It can use up to several GB's of memory when working with high-volume databases, and this has an impact on performance if your system is not equipped to handle it.
Con Data export
Data export does an individual insert per row of data, which is a little inefficient.