SQL Connect
SQL Connect is cloud-hosted version of database development and administration tool that increases user productivity and application code quality while providing an interactive community to support the user experience.
SQL Connect empowers developers and DBAs to be more productive by providing an intuitive graphical user interface to Oracle. SQL Connect is a powerful, low-overhead tool that makes PL/SQL development faster and easier and simplifies database administration tasks.
Features
Connect to multiple databases simultaneously and AUTOMATICALLY
Code Road Map - Map your PL/SQL's object dependencies
Query Building Tool and ER Diagramming Tool
Project Manager - delivers a centralized screen to manage frequently related objects and tasks
HTML Schema Documentation
Compare Schemas and Databases - see migration SQL for differing objects
Canned Database Reports - HTML, PDF, XLS, JPG, RTF Output
Sql Editor has AutoTrace functionality
Shared Pool statement recall/browser with performance statistics and Explain Plan
Full color syntax highlighting for SQL and PL/SQL
View OraInit parameters without a trip to the server
Direct OCI/Oracle access for the fastest performance possible. NO database engines required!
Fast and complete object DDL Browser Window - NO DRILL DOWN LISTS!
SQL Edit Window to test queries, view and edit data, process DDL commands
Syntax errors in SQL statements are highlighted
Generate Database Scripts and Schema Scripts
Compile, Debug, and execute stored procedures, triggers, functions, and types
View/compare previous DBMS Output statements in a separate window
Dump table data in the following formats to clipboard or file
Resizable MDI windows for viewing more SQL during editing -- no line limitations
Execute Explain Plan and view results (on same screen or as in a separate window in outline-style)
READ-ONLY version which totally restricts data and DDL modifications
MDI interface for multiple SQL Edit windows, Table Edit windows, etc
Export larger columns to disk for review in external programs
Execute saved SQL files directly via @ command (or load files into the SQL Edit Window for editing)