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Showing 4 open source projects for "pascal to java"

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1

deltasql

Version Control for your Database

deltasql is an advanced Database Schema Version Control. It allows a team to commonly develop a data model on the fly, while the source code is growing. Sync algo supports branches and tags. Works for postgreSQL, Oracle, mySQL, MariaDB, Microsoft SQL Server or any SQL-like db.

3 Reviews

Downloads: 0 This Week

Last Update: 2024-12-23
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2

SQL Data Workshop

SQL Data Workshop is a Rich SQL Front End System

SQL Data Workshop is a free open source SQL front end that allows to you create and display complex sql queries easily. It supports most of commercial DBMS’s like Microsoft SQL Server, MySQL, Hyper SQL, Derby and Postgre SQL. Support for more DBMS’s will be incorporated in future versions and updates. SQL Data Workshop´s User Graphical Interface allows to you design complex queries involving multiple tables in an agile, single and friendly environment. Thanks to Anudeep and PAscal of SQLeo...

1 Review

Downloads: 0 This Week

Last Update: 2015-04-23
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3

SL2 L2J Server Emulator

This project is an customised, highly evolved open source L2J server emulation software. Main source bases mostly on L2JOfficial project files. Project is written in Java, Python, XML, HTML, SQL and so on. //// and is not available to all anymore. ho

Downloads: 0 This Week

Last Update: 2016-02-17
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4

Avian Freeware Suite

Avian Freeware Suite (AFS) provides two things: Developers with libraries for Java Swing Widgets, XML handling, Fortran95 and Pascal; End users (Medical students, doctors, scientists) with productivity tools they can use (quizzes, XML databasing & PDF)

Downloads: 0 This Week

Last Update: 2015-08-06
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MongoDB Atlas | Run databases anywhere
Ensure the availability of your data with coverage across AWS, Azure, and GCP on MongoDB Atlas—the multi-cloud database for every enterprise.

MongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.

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