Free graphical database design software for linux

Mckoi SQL Database is a full featured SQL-92 relational database management system written in Java.

The software can operate as either a dedicated multi-client, multi-threaded database server, or can be used as an embedded database inside a Java application.

The engine is designed to be easy to use and maintain and versatile for sophisticated database development tasks. The software provides a JDBC 2.0 driver.

To use Mckoi SQL Database, you will need a JavaTM runtime environment version 1.2 or greater. Sun provides Java runtimes for Win32, Solaris and Linux from their website at http://www.javasoft.com/j2se/. IBM also provides various Java runtimes for a number of platforms at http://www.ibm.com/java/jdk/download/.

When Java has been installed on your system, unpack the mckoi distribution file to a directory in your file system. Then you are ready to create a database and develop your database application.

Creating A Database

Before you can begin development of your database application, you will need to create and configure a blank database. The database configuration file describes all of the configurable properties of the database (details of the database configuration file are covered in the next section). The software ships with a default configuration that looks for a database at path ./data in your filesystem.

To create a database using the default configuration with an admin username of admin_user and password aupass00, go to a prompt, change to the Mckoi Database distribution directory and type:

java -jar mckoidb.jar -create "admin_user" "aupass00"

We do not advise using either this username or password in a production system. The user created here has full control over every aspect of the database so choose a username / password carefully.

When the command has completed, a sub-directory called data will have been generated. This directory is used to store data from the database. A sub-directory called log is also generated which stores debugging and query log information.

Database Configuration

When you run the mckoidb.jar package, it looks for a file named db.conf in the current directory. This file contains a number of variables that determine where the database looks for information, as well as other user-definable properties. The configuration file can be renamed and copied to a different location. If you change the configuration file location, you must supply the location when you run the database;

java -jar mckoidb.jar -conf [location of conf file] .....

You can edit the configuration file with a text editor. The default configuration file that ships with the software contains extensive comments on what each variable does.

The Program Database Toolkit (PDT) is a powerful tool infrastructure that provides access to the high-level interface of source code for analysis tools and applications.
Many tasks in an integrated programming environment require access to program information for their implementation. Program Database Toolkit (PDT) is a framework for analyzing source code written in several programming languages and for making rich program knowledge accessible to developers of static and dynamic analysis tools.
PDT implements a standard program representation, the program database (PDB), that can be accessed in a uniform way through a class library supporting common PDB operations. Software tools can use this library to accomplish tasks such as
- documentation of program components
- creation of graphic program browsers that show class hierarchies, function call graphs, and template instantiations
- insertion of instrumentation for performance profiling and tracing; andgeneration of interface details for calling library routines or buildinginterlanguage bindings.
Enhancements:
- Assorted minor bugfixes.

Simple C++ ODBC Database API is designed to encapsulate the ODBC API functionality in an object oriented manner.
The API was created due to an absence of any other such API that was database independent. The database independence is achieved using the ODBC (Open DataBase Connectivity) API.
The API provides a Database object that can be used to create instances of Query objects. The Query objects are used to query a database and allow columns to be bound for the query.
The flowing column objects are currently available (as of Jan 2005): a boolean column, a long column and a string column. The string column makes use of the libstdc++ string class so you dont have to mess around with malloc.
The Database object also has some convenience member functions that allow queries that return a single integer or string to be executed without having to create a query object or bind columns.
The API has been tested to work with both MySql and PostGreSQL on a Debian Linux platform.
Enhancements:
- DoubleColumn, IntColumn, and BigintColumn were added.
- The LongColumn is deprecated.

Linux graphical bootsplash allows you to use custom graphics during early system startup. It makes it possible to place a nice graphic behind or above the kernel boot messages.
Linux graphical bootsplash hooks into the fbcon layer and, if activated, searches the initial ramdisk for a JPEG picture to show.
On any output operations to the console, it takes care of painting a margin around your text and a background picture behind the text with a set of special cfb functions.
Main features:
- Nice graphics (JPEG)
- Antialiased text rendering (TrueType)
- Animations (MNG)
- Progress Bar
- Display of boot messages above or below a graphic. ("verbose" and "silent" modes)
- Fully themeable
Enhancements:
- The bootsplash patch was updated to apply cleanly against Linux kernel 2.6.21.

Aqua Data Studio program 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.
Main features:
Query Analyzer/Window
- Aqua Data Studios sophisticated Query Analyzer allows users to work on database scripts with specific RDBMS syntax highlighting and auto-completion to develop and test SQL scripts. Other features to speed up development include SQL automation, auto-describe and sortable multi-grid results. The query analyzer also provides client side variable binding, allowing a user to execute stored procedures or functions with local variables binded to receive out parameters. The query window also provides two modes of operation, using a SplitPane View or a MultiTab View for the editor and the query results.
Schema Browser & Visual Editing
- Its graphical browsing capabilities allow you to understand the structure and dependencies of the database schema with a single mouse click. The schema browser also allows you to visually edit any schema object with a graphical design form to CREATE, ALTER or DROP the object. Visual editing supports Tables, Indexes, Procedures, Data Types and other schema objects. The visual editors also provides an SQL preview of all the commands to be executed to commit the operation.
Schema Extraction & DDL Scripting
- Its graphical browsing allows you to extract the structure definition of all schema objects and to script the SQL DDL and DML (eg CREATE, ALTER, DROP, SELECT, INSERT, UPDATE and DELETE) syntax for database schema objects (including Tables, Views, Triggers, Stored Procedures and Functions).
Table Data Editor
- A powerful Table Data Editor allows you to modify your results graphically and save them. By writing a single table SELECT statement in the Query Analyzer and clicking on the Execute Edit button, a separate window is opened with the query results for you to edit and save. You may also browser to a table in the schema browser and select the Edit Table from the popup menu to edit the first 1000 records in a table.
Enhancements:
- Enhancements in this release include OS X Integration, Windows integration, complete and customizable keymapping, a schema difference tool, a directory difference tool, a file difference tool, a tab difference tool, a copy history difference tool, SQL Server DBA tools, and Sybase DBA tools.
- In total, there were over 100 new features.