Light and friendly interface for your datasources
For your environment
- Docker-compose exec: execute a command inside a running container; db: name of the service (see configuration in docker-compose.yml) psql: terminal command to run, see psql-U postgres: user name is postgres-d taskmanagement: connect to the database called taskmanagement; Alternatively, you can use a GUI tool like pgAdmin or DBeaver.
- Docker run -p 5432:5432 -name yourContainerName -e POSTGRESPASSWORD=yourPassword -d -volumes-from PostgresData postgres The only difference from the first example run command is the addition of –volumes-from PostgresData which tells the container to use the PostgresData container.
Connecting to PostgreSQL Data from DBeaver via ODBC Driver for PostgreSQL. Follow the steps below to establish a connection to PostgreSQL in DBeaver. In the Database menu, select New Database Connection. In the Connect to database wizard, select ODBC and click Next. Enter the previously configured DSN in the Database/Schema field.
SQL and NoSQL support
Dbeaver Docker Postgresql
MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SQLite, AWS datasources and more others.
AWS ready
Dbeaver Docker Postgres
Available in AWS Marketplace.
Connect to AWS RDS, Redshift and Dynamo DB in a few clicks.
Docker pack
Official Docker container on Docker hub.
Launch with one command.
Choose your CloudBeaver
- CloudBeaver is available on AWS marketplaceCloudBeaver Enterprise has been published on AWS marketplace. You will be surprised how easy CloudBeaver can be integrated to Read more…
- CloudBeaver documentationDo you know that you can download the CloudBeaver documentation as a PDF file on the Docs page on Read more…
Our other products
DBeaver Enterprise Edition
DBeaver EE is a powerful desktop database client for data management, analysis and administration. It supports almost all existing databases: SQL, BigData, Analytical and more others.
DBeaver Community Edition
DBeaver CE is a popular open-source desktop application for working with SQL-databases. It supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server and others.