Dbeaver Elasticsearch



Dismiss Join GitHub today. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. DBeaver is aware of the Elasticsearch JDBC maven repository so simply Download/Update the artifact or add a new one. As an alternative one can add a local file instead if the Elasticsearch Maven. The Elasticsearch JDBC Driver enables users to connect with live Elasticsearch data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Elasticsearch.

I use redshift occasionally for playing with some data. Its an amazing service(a datawarehousing solution) from AWS that you can use for analyzing large amounts of data.

Every time I need to use redshift (every couple of months) I begin my search for a decent client that I can use. A google search does not result in something concrete right off with full of discussions on quora and other places.

AWS official guides use SQL workbench. I found it lacking in basic features like displaying the list of connections, databases, schemas, tables, etc. The whole reason I am using GUI is that I don’t have to remember the database objects.

Pieces

While any postgres GUI clients would work for running basic queries on redshift, things like IAM authentication, federated authentication require redshift JDBC drivers that I need to use.

Elasticsearch jdbc driver

Since I am only an occasional user I needed a free tool (preferably open source) to do the job and am not looking to pay for the software.

My final set of requirements for the tool were:

  1. Provides decent GUI.
  2. Can use redshift JDBC drivers.
  3. Can run on multiple platforms (mac, windows)
  4. Free(Permissive enough licensing for me to use it for commercial purposes. I support customers making my use commercial.) or open source.
Dbeaver ElasticsearchDbeaver Elasticsearch

After some search and trying out a couple of clients I stumbled on DBeaver. I am not going to provide a comparison of multiple tools that I tried but will focus on DBeaver that met my requirements.

My take:

  1. It is built on eclipse - so kinda heavy - but worked without any challenge.
  2. A generic SQL client that can connect to any database given the JDBC driver.
  3. Works on mac, windows and linux.
  4. It’s open source (Apache license)

While my needs are not extreme and I have not tested DBeaver to its full extent, it could work for a heavy user too. Check it out. All the best.


Community Edition 21.0.3

Released on April 19, 2021 (Milestones).
It is free and open source (license).
Also you can get it from the GitHub mirror.

Enterprise Edition 21.0

Released on March 8, 2020
EE version web site: dbeaver.com
Trial version is available.

Windows

  • Chocolatey (choco install dbeaver)

Mac OS X

  • Brew Cask (brew install --cask dbeaver-community)
  • MacPorts (sudo port install dbeaver-community)

Linux

  • Snap (sudo snap install dbeaver-ce)
  • Flatpak (flatpak install flathub io.dbeaver.DBeaverCommunity)

Eclipse Plugin

  • Update site URL: https://dbeaver.io/update/latest/ (Multiplatform)
  • Eclipse Marketplace direct install: https://marketplace.eclipse.org/content/dbeaver
Note: plugin is compatible with Eclipse platform (from Neon to 2020-09). Required plugins: gef and draw2d.

Checksums

Previous versions

Enterprise Edition features:
  • Support of NoSQL databases:
  • Advanced extensions for:
    • Oracle
    • SQL Server
    • Netezza
    • Informix
  • AWS IAM, Kerberos and Active Directory authentication support
  • Advanced security (secure storage for user credentials, configuration encryption, master password, etc)
  • Additional drivers configuration for BigData/Cloud databases (Hadoop).
  • Most popular JDBC drivers are included in distribution and can be used in offline/limited internet access environment.
  • Additional EE plugins:
    • Visual SQL query builder
    • Task scheduler
    • Analytical charts generation
    • Mock data generator
    • Advanced schema compare/migration tools
    • Data compare tool
    • Office formats support (XLS) for data export
    • Advanced SQL execution plan viewer
    • Integrated Git (version control for scripts and configuration)
    • Persistent Query Manager database (allows to track SQL history)
    • Time series charts renderer
    • Eclipse Marketplace (allows to easily install 3rd party plugins)
    • All CE features of course
    • Online customer support
Usually we release a new Minor Community Edition version once per two weeks. Major version is released quarterly (every 3 months). Information about previous releases you can find here.
Elasticsearch

Tested and verified for MS Windows, Linux and Mac OS X.

Install:

Windows installer – run installer executable. It will automatically upgrade version (if needed).
MacOS DMG – just run it and drag-n-drop DBeaver into Applications.
Debian package – run sudo dpkg -i dbeaver-<version>.deb. Then execute “dbeaver &”.
RPM package – run sudo rpm -ivh dbeaver-<version>.rpm. Then execute “dbeaver &”. Note: to upgrade use “-Uvh” parameter.
ZIP archive – extract archive and run “dbeaver” executable. Do not extract archive over previous version (remove previous version before install).

Upgrade – don’t be afraid to remove previous DBeaver version – your settings won’t be lost. All settings are kept in the separate folder (DBeaverData in user home)

Java notes:
DBeaver requires Java 11 or higher. Since version 7.3.1 all distributions include OpenJDK 11 bundle.
If you want to use you own locally installed Java you may delete folder “jre” in the DBeaver installation folder.


Debian repository:


Ubuntu PPA:
You can use PPA repository to easily install/upgrade DBeaver on Debian Linuxes. Mostly it is the same as regular Debian repo but it is hosted on Launchpad.

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.

Source code:

We are on GitHub.
Community Edition sources, issue tracker, older releases, etc: https://github.com/dbeaver/dbeaver

Archive:

All recent DBeaver versions are available in the archive.

CloudBeaver

Dbeaver Connect To Elasticsearch

DBeaver is desktop application.
If you are looking for a web-based database management system – please check another of our products: CloudBeaver.

It is also open-source and free.

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Ubuntu Install Elasticsearch