Jailer is a powerful tool that enables efficient database browsing, editing, and exporting. It supports various relational databases, allowing direct interaction with tables, views, and queries. Users can explore database structures with ease, quickly identifying relationships and dependencies. Its interface simplifies complex operations, making data management more intuitive and accessible.

Jailer includes a built-in SQL editor that supports syntax highlighting, auto-completion, and query execution. It allows the creation, modification, and testing of SQL statements without leaving the environment. Complex queries can be executed with detailed feedback, helping maintain data integrity and accuracy.

Jailer also excels in data export and extraction. It can export selected tables or query results to multiple formats, including CSV, SQL scripts, and Excel files. The tool manages large datasets efficiently, ensuring smooth performance even with millions of rows. Export operations can be customized, allowing precise control over the output structure and content.

Jailer offers database refactoring capabilities, enabling schema analysis and table decomposition. It supports visualizing relationships and dependencies, assisting in optimization and normalization. With its combination of exploration, editing, and exporting features, Jailer streamlines database management tasks, saving time and reducing potential errors.

Key Features:

• Database Browsing – Explore database schemas, tables, and views with an intuitive interface.
• Data Editing – Edit table records directly within the tool, supporting various SQL databases.
• Export & Import – Export table data in multiple formats (CSV, SQL, XML) and import data from files.
• SQL Generation – Automatically generate SQL statements for selected tables or rows.
• Schema Visualization – Visualize database relationships and foreign key dependencies.
• Data Subsetting – Extract subsets of large tables while maintaining referential integrity.
• Cross-Database Support – Works with multiple relational databases through JDBC.
• Transaction Management – Support for committing or rolling back changes to prevent data loss.
• User-Friendly Interface – Provides an organized view of database objects with easy navigation.
• Command-Line Integration – Allows automation of common tasks via command-line options.