数据库管理工具,DBeaver 3.1.5 发布
Version 3.1.5
DBeaver 3.1.5 released on 2015-2-24
Tested and verified for MS Windows 7/8/XP, Linux and Mac OS X.
DBeaver itself requires Java 1.6 or higher. Windows installers includes JRE 1.7.
If you are NOT on Windows you have to setup Java.
Note: 3rd-party JDBC drivers may have have their own system requirements.
You may choose between Community and Enterprise editions. Both versions are free. Enterprise Edition includes NoSQL databases support.
Community EditionWindows
Linux
Mac OSOther | Enterprise EditionWindows
LinuxMac OS |
Eclipse plugin:
- Update site URL: http://dbeaver.jkiss.org/update/3.1.5/ (Multiplatform)
- Eclipse Marketplace direct install: http://marketplace.eclipse.org/node/507775
Early Access:
You may get latest build (EA version) of DBeaver. Usually it contains all major bug fixes found in current stable version. Just choose the archive corresponding to your OS and hardware from the following folder:
EA version downloads
Archive:
All recent DBeaver versions are available in archive:
Source code:
https://svn.jkiss.org/dev/dbeaver/trunk/
Notes:
DBeaver is freeware. You can use it for any purpose with no limitations. This software is provided “as is” without express or implied warranty.
Windows Installer will automatically install DBeaver on your computer. Java Runtime will be installed as a part of DBeaver installation. If you already have JRE installed on your computer you may disable JRE option in installer. However it is recommended to use JRE shipped with DBeaver (it won’t be break any existing JRE installation, nothing will be copied in system folders, registry or environment variables).
Debian installer will setup all required components (including JRE) prior to DBeaver installation.
All other versions are just minimal archives that don’t contain the JRE or an installer. Just unzip and start dbeaver executable.
DBeaver 是一个通用的数据库管理工具和 SQL 客户端,支持 MySQL, PostgreSQL, Oracle, DB2, MSSQL, Sybase, Mimer, HSQLDB, Derby, 以及其他兼容 JDBC 的数据库。DBeaver 提供一个图形界面用来查看数据库结构、执行SQL查询和脚本,浏览和导出数据,处理BLOB/CLOB 数据,修改数据库结构等等。