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PKLite SQL Client
11586 PKLite SQL Client http://pklite.sourceforge.net/ PKLite SQL Client is an Open Source Java SQL Client that can connect to any JDBC compliant database. It has basic query and update functionality and some simple database information capabilities. The goal of this project was to create a lightweight SQL client (~ 1 MB) that was portable, easy to install and be vender independent. There are still some issues to be worked out so that is can be completely database vender independent but with this new build it is able to connect to any database that has a JDBC driver and run on any operating system that has a Java VM Java > Applications > Database Tools Oct 11, 2006 Chris Taylor

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SQL Developer is a database administration and query tool that provides a single consistent interface for various databases.

Visually navigate through your database structure, create and execute SQL queries and scripts the easy way. Or reverse engineer complete data models with the integrated diagram editor.

Your quest has ended. Why use a lot of different software tools to get access to your favorite databases? Use a cross database tool on any platform running Java with one frontend.
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Enhancements
Centralized Database Meta Data caching provides the following improvements:
The Object Tree is now updated immediately to reflect the DDL statements executed in the SQL Editor. This works as long as standard DDL statements are used.
Syntax coloring and code completion for newly created tables, views, columns, procedures is available right after a DDL statement was run. This works as long as standard DDL statements are used.
The refresh button updates the Object tree as well as syntax highlighting and code completion.
Session startup performance
General: New Alias properties allow to configure the loading and caching of Schemas.
Oracle: When the Oracle Plugin is used the user is able to configure Schema loading according tohis access privileges.
Note: By default only those Schemas that the user has access to are loaded.
Output displayed tables to CSV files. The user can choose to immediately open table contents in another application like Open Office Calc or MS Excel.
Enhancements of the Bookmarks Plugin
Bookmark preferences can be opened by the new "Edit Bookmarks" button in the Session tool bar.
Bookmarks can be run from within the Bookmark Preferences.
Many additional "SQuirreL Bookmarks" which are templates for many common SQL/DDL statements.
Users can choose to see "SQuirreL Bookmarks" in the Bookmarks selection popup of the SQL Editor (ctrl j).
Quickly adopt column widths to column values when table header is double clicked while the resize mouse pointer (<-->) is visible (like Open Office Calc or MS Excel).
New tool bar button to quickly toggle auto commit.
Optional internationalization jars have been added to the installer(Simplified Chinese (xpdz), French (Erwan Duroselle), German (Andreas Oswald) and Italian (Ivo Neri)
DBCopy plugin which allows tables (definition and data) to be easily copied from one session to another (can be different databases)
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DbVisualizer is a feature rich, intuitive and cross platform database tool for developers and DBA's providing a single powerful interface for a variety of databases. DbVisualizer supports simultaneous database connections, it lets you explore and manage database objects, execute SQL queries, visualize information and a lot more.
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Aqua Data Studio is a database query tool and administration tool that allows developers to easily create, edit, and execute SQL scripts, as well as browse and visually modify database structures. Aqua Data Studio provides an integrated database environment with a single consistent interface to all major relational databases. This allows the database administrator or developer to tackle multiple tasks simultaneously from one application.
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JCDatabase is a simplified version of JDBC (Java Database Connectivity) that lets developers use Java's write once, run everywhere capabilities for cross-platform applications that need data access. JCDatabase has the following advantages over JDBC:
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