Usually it contains all major bug fixes found in current stable version. You may get latest build (EA version) of DBeaver. sudo add-apt-repository ppa:serge-rider/dbeaver-ce Mostly it is the same as regular Debian repo but it is hosted on Launchpad. You can use PPA repository to easily install/upgrade DBeaver on Debian Linuxes. Sudo apt-get update & sudo apt-get install dbeaver-ce If you want to use you own locally installed Java you may delete folder “jre” in the DBeaver installation folder.ĭebian repository: sudo wget -O /usr/share/keyrings/ Įcho "deb /" | sudo tee /etc/apt//dbeaver.list Since version 23.0 all distributions include OpenJDK 17 bundle. All settings are kept in the separate folder ( DBeaverData in user home)ĭBeaver requires Java 17 or higher. Upgrade – don’t be afraid to remove previous DBeaver version – your settings won’t be lost. Do not extract archive over previous version (remove previous version before install). ZIP archive – extract archive and run “ dbeaver” executable. RPM package – run sudo rpm -ivh dbeaver-.rpm. MacOS DMG – just run it and drag-n-drop DBeaver into Applications.ĭebian package – run sudo dpkg -i b. It will automatically upgrade version (if needed). Windows installer – run installer executable. Tested and verified for MS Windows, Linux and Mac OS X. Information about previous releases you can find here. Major version is released quarterly (every 3 months). Usually we release a new Minor Community Edition version once per two weeks. Ongoing technical support at all stages of working with DBeaver PRO – from product consulting to deploying the solution in your company’s infrastructure.Data export tasks to send regular reports to the email.Task scheduler to run tasks automatically.Complex multi-component tasks support automating daily database operations.Query Execution plan graph mode to view and estimate the speed of the query or script execution and to define the most expensive plan nodes.Comparison of data and schemas between sources to navigate through all the differences.Mock data generation with thousands of entities of different types for database testing.
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