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모든 DataBase Convert - SQLines

작성자 관리자 (admin)
조회수 3,103
입력일 2020-03-12 22:24:07

Download URL : http://www.sqlines.com/download

Download Tools

Here you can download SQLines open source tools:

SQLines Data

SQLines Data is an open source (Apache License 2.0) data transfer, schema conversion and migration validation/testing tool.

 

 

 

 

How to Start:

  • Download and unzip the file, no installation is required

  • Run sqldataw.exe on Windows to launch the GUI version

  • Run ./sqldata on Linux or sqldata.exe on Windows to launch the command line tool. Command Line Reference

  • The tool uses low level native C/C++ connections and in-memory bulk loader APIs, so if you are able to connect to your databases using the existing client software, you should be able to start using SQLines Data immediately. SQLines Data Connections.

For more information and guides, select your migration direction on the right sidebar of our website.

You can download the source code at github.

Please contact us to build SQLines Data tool for any other OS platform.

SQLines SQL Converter

SQLines SQL Converter is an open source tool (Apache License 2.0) that helps you convert database schema (DDL), queries and DML statements, views, stored procedures, packages, functions and triggers.

You can also try it Online.

 

 

How to Start:

  • Download and unzip the file, no installation is required.

  • Run sqlines-studio.exe to launch the GUI version on Windows.

  • Run sqlinesw.exe to launch the GUI command line wrapper on Windows.

  • Run sqlines.exe on Windows and sqlines on Linux to launch the command line tool. Command Line Reference.

See a quick SQLines SQL Converter Tutorial. You can download the source code at github.

Please contact us to build SQLines SQL Converter tool for any other OS platform.

HPL/SQL

HPL/SQL is an open source tool (Apache License 2.0) that runs existing procedural SQL code against any database without or with minimal changes. You can use it with any SQL-on-Hadoop, NoSQL or relational database. No need to convert the code, just execute as is. Try it out at http://www.hplsql.org

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