Category/Database/sql
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Category/Database
sql (75)
- ADL
- Database load balancing class for PHP applications who need to deal with various MySQL servers. The class will properly detect write queries and will try the next available server(s) until running out of connections. Multi server connection handling in progress in order to allow running transactions in many servers at the same time.
- Autotable
- Autotabla is a CGI interface to a collection of SQL tables. Once an XML description of the database schema (table names, fields, etc.) is provided, all table maintenance can be done from a Web page. The program reads the database schema from a configuration file, and you can manage the tables included in the schema: you can add, delete or modify rows and you can do simple but effective queries. It is meant to help developers who are making SQL based applications, freeing them from writing basic scripts for accessing the tables the application will use, and letting them test those applications with live data that can be inserted, modified or deleted from outside it. It reads the database schema from an XML configuration file (which must be provided, and presents an index page of tables and operations to do with them. From then on, the user can do all typical table maintenance.
- Beekeeper Studio Community Edition
- Beekeeper Studio CE is a modern database management app that prioritizes ease of use. It's available for all desktop OSes. The community edition is full featured and supports PostgreSQL, MySQL, SQLite, SQL Server, and Redshift.
- BlueSpice
- BlueSpice extends MediaWiki and enhances it with useful features, in particular in the areas of quality management, process support, administration, editing and security. There are two editions available: BlueSpice free and BlueSpice pro. BlueSpice free is a free of charge wiki version. BlueSpice pro is the business-critical solution with comprehensive functionalities and a subscription for support and software maintenance.
- Burn 360
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This is a candidate for deletion: Unclear licensing. The source files do not include any copyright information. The licence of the documentation on the website and included with the program is unclear. A copy of the GPLv2 is included with the program. Drw (talk) 09:20, 18 July 2018 (EDT)
This is a frontend to three programs - ffmpeg, vcdimager and cdrdao written in perl-gtk2.
It is designed to enable (as seperate processes)
Rip video tracks from VCD's
Encode from/to any format that ffmpeg supports (these are in a seperate file called opts)
Create a new VCD from MPEG's on hard drive.
- CbMySQL
- 'cbMySQL' is a PHP class for creating, modifying MySQL databases and tables. For backup issues, you can export CSV data directly with only one class method. The MySQL object is easier to handle than PHP's built in functions, and you need not install anything like PEAR.
- Common Lisp SQL
- 'CLSQL' is an SQL database interface for Common Lisp. It provides object-oriented and functional access methods to the underlying database, which can be one of MySQL, ODBC, PostgreSQL, or SQLite. It uses the Unified Foreign Function Interface (UFFI) and thus supports the CMU Common Lisp, Steel Bank Common Lisp, Allegro Common Lisp, OpenMCL, and Lispworks implementations.
- Csv2mysql
- 'csv2mysql' is a Web-based tool that converts CSV files to MySQL tables. It asks for the location of the CSV file, type of the CSV file, and access info (server address, table name, username, and password) for the MySQL database, and lets users map the fields of a CSV file to the fields of a MySQL table.
- DBI Frame
- DBI::Frame is an extension of the standard DBI perl module, designed around MySQL, used to create and maintain frameworks for databases. It has query logging and a standardized interface for SQL statements like 'update' and 'insert' that doesn't require understanding SQL. Ideally, the user or developer shouldn't have to know SQL to be able to administer a database; this does require a special setup which isn't necessarily easy to create.
- DM Tools
- DMTools is an ongoing project to develop a data mining toolbox written in Python. Two core features of the toolbox are caching of database queries and parallelism within a collection of independent queries. Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions - mainly domain and data collection dependent - for complex and time consuming data mining tasks.
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