DBeaver Overview

• DBeaver is free and open source (GPL) universal database tool for developers and database administrators' and is a well-known app in the Development category. There are more than 100 alternatives to DBeaver for a variety of platforms, including Windows, Mac, Linux, the Web and Self-Hosted solutions.
• DBeaver Universal Database Tool Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, etc.

DBeaver is a free, open source multiplatform database management tool and SQL client for developers and database administrators. DBeaver can be used to access any database or cloud application that has an ODBC or JDBC driver, such as Oracle, SQL Server, MySQl, Salesforce, or MailChimp. Devart DBeaver provides you with the most important features you'd need when working with a database in a GUI tool, such as:

Normally I use Dbeaver for windows and always export my result set like this: Run my query - select the result - export the result set - select export to clipboard - done; This step by step puts my result set in my clipboard and I can paste it wherever I want to work with it.

• SQL queries execution
• Metadata browsing and editing
• SQL scripts management
• Data export/import
• Data backup
• DDL generation
• ER diagrams rendering
• Test data generation
• BLOB/CLOB support
• Database objects browsing
• Scrollable resultsets

The tool comes in two editions — Community and Enterprise. Enterprise Edition supports NoSQL databases, such as MongoDB or Cassandra, persistent query manager database, SSH tunneling, vector graphics (SVG) and a few other enterprise-level features. Note though that you can access a MongoDB database from DBeaver Community Edition using the respective Devart ODBC driver. For the purposes of this guide, we'll use the Community Edition of DBeaver to retrieve data from PostgreSQL via the Open Database Connectivity driver.

Creating an ODBC Data Source to Use PostgreSQL Data in DBeaver

1. Click the Start menu and select Control Panel.
2. Select Administrative Tools, then click ODBC Data Sources.
3. Click on the System DSN tab if you want to set up a DSN name for all users of the system or select User DSN to configure DSN only for your account.
4. Click the Add button and double-click Devart ODBC Driver for PostgreSQL in the list.
5. Give a name to your data source and set up the connection parameters.
6. Click the Test Connection button to verify that you have properly configured the DSN.

When using ODBC driver for PostgreSQL with DBeaver, SQL_WVARCHAR data types may be displayed incorrectly in DBeaver. To prevent this, you need to set the string data types to Ansi either in the Advanced Settings tab of the driver configuration dialog or directly in the connection string (String Types=Ansi) — all string types will be returned as SQL_CHAR, SQL_VARCHAR and SQL_LONGVARCHAR.

Connecting to PostgreSQL Data from DBeaver via ODBC Driver for PostgreSQL

Follow the steps below to establish a connection to PostgreSQL in DBeaver.

1. In the Database menu, select New Database Connection.
2. In the Connect to database wizard, select ODBC and click Next.
3. Enter the previously configured DSN in the Database/Schema field.
4. Click Test Connection. If everything goes well, you'll see the Success message.

Viewing PostgreSQL Database Objects and Querying Data

Dbeaver And Postgresql Tutorial

You can expand out the database structure in DBeaver's Database Navigator to visualize all the tables in PostgreSQL database. To view and edit the data in a table, you need to right-click on the target table name and select View data.The content of the table will be displayed in the main workspace.

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If you want to write a custom SQL query that will include only the necessary columns from the table, you can select New SQL Editor in the SQL Editor main menu. Create your query and run it by clicking Execute SQL Statement to view the results in the same window.

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