LinuxAlternative
DataGripLinux vs Oracle SQL DeveloperWindows

DataGrip as a Linux alternative to Oracle SQL Developer

Updated

Our verdict

DataGrip can replace Oracle SQL Developer for many tasks that involve writing, executing, and debugging SQL on Oracle databases, especially for users who already use JetBrains tools. It offers a modern editor, schema navigation, and query consoles, and it works on Linux. However, it lacks some Oracle‑specific features such as PL/SQL debugging, built‑in migration wizards, and tight integration with Oracle Enterprise Manager. It is best suited for developers who need a multi‑database IDE and are comfortable with a paid license.

Feature parity75%
License
LicenseRef-proprietary
Price
paid
Latest version
2026.2.6 (September 29, 2026)
Rating
—
DataGrip screenshot
Welcome Screen

What works the same

  • Connects to Oracle databases via JDBC
  • Provides schema‑aware code completion and error highlighting
  • Allows running and profiling SQL queries in consoles
  • Supports exporting query results to CSV/JSON/Excel
  • Offers visual schema diagrams
  • Supports version control integration

What is different

  • No native PL/SQL debugging support
  • Missing Oracle‑specific migration scripts and wizards
  • Does not integrate with Oracle Enterprise Manager or SQL Developer wizards
  • No built‑in data migration tools for Oracle to other DBs
  • License is paid (except free trial) whereas SQL Developer is free

Opening your Oracle SQL Developer files

Oracle SQL Developer uses proprietary .xml and .sql files that are not directly readable by DataGrip. You can export SQL scripts or DDL from SQL Developer to plain .sql files and then open them in DataGrip. For project‑level metadata, you would need to recreate the database connection and schema navigation manually.

Switching from Oracle SQL Developer to DataGrip, step by step

  1. Export all SQL scripts and DDL from SQL Developer to plain .sql files.
  2. Create a new DataGrip project and add an Oracle JDBC driver (download from Oracle).
  3. Set up a new database connection in DataGrip using the same credentials.
  4. Import the exported .sql files into the project and run them to rebuild the schema in DataGrip.
  5. Recreate any PL/SQL debugging configurations manually if needed.

Key features of DataGrip

  • Connect to any database with a JDBC driver, including PostgreSQL, Oracle, MySQL, and Snowflake
  • Smart SQL editor with schema-aware completion, error highlighting, and refactoring tools
  • Multiple independent query consoles for running, explaining, and profiling SQL
  • Excel-like data editor with inline editing, sorting, and export to CSV, JSON, or Excel
  • Visual schema diagrams and DDL generation for database objects
  • Data diff tools to compare tables or query results with visual differences
  • Git integration for version control of SQL scripts and database migrations
  • AI assistance for natural-language-to-SQL generation and query explanation

How to install DataGrip on Linux

Flatpak (Flathub)flatpak install flathub com.jetbrains.DataGrip

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