Compare the Top PostgreSQL GUI Clients for Linux as of April 2026

What are PostgreSQL GUI Clients for Linux?

PostgreSQL GUI clients are tools used to easily manage and manipulate databases from a graphical user interface. They provide an intuitive interface that allows users to create and edit elements like tables, views, functions and more. Popular PostgreSQL GUI clients include pgAdmin, DBeaver, TablePlus and Navicat Premium. These clients support a variety of database operations through graphical tools or embedded SQL text editors for full control over query execution. Compare and read user reviews of the best PostgreSQL GUI Clients for Linux currently available using the table below. This list is updated regularly.

  • 1
    DBeaver Community

    DBeaver Community

    DBeaver Corp.

    DBeaver Community is a free, open-source database management tool recommended for personal projects. Manage and explore SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more. Connect to popular SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, etc.) SQL editor to create queries with syntax highlighting and autocompletion AI assistant in SQL for building queries through natural language SSL/TLS support for encrypted connections SSH tunneling for secure remote access Proxy configuration to work with databases behind a corporate firewall Session Manager to terminate, disconnect, view and search for sessions Lock Manager to monitor and manage database locks Entity Relationship Diagrams to interactively explore and visualize database structure Query manager to view all executed queries, including execution time, duration, affected rows, and errors. Data editor to view, edit, and filter data
    Starting Price: $11/month
  • 2
    Aqua Data Studio

    Aqua Data Studio

    AquaFold, an Idera, Inc. company

    Aqua Data Studio is a multiple-platform, integrated development environment (IDE) for data. It provides benefits to a variety of data-centric roles, allowing them to manage a wide range of data sources. Aqua Data Studio provides scalable, cross-platform data management, supporting IT and data-centric specialists, including developers, database administrators, as well as data analysts, data modelers, and data architects. Simplifies tedious tasks involving SQL queries, data, result sets, schema, data models, files, instances, servers, as well as automation. Aqua Data Studio can be installed on the three popular operating systems: Microsoft Windows, Apple macOS, and Linux. The graphical user interface can display the nine of the most widely spoken languages: English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Aqua Data Studio supports over 40 of the most popular data source platforms, including relational, NoSQL, as well as managed cloud data source
    Starting Price: $499 per user per year
  • 3
    TablePlus

    TablePlus

    TablePlus InC

    Modern, native client with intuitive GUI tools to create, access, query & edit multiple databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Amazon Redshift, MariaDB, CockroachDB, Vertica, Cassandra, Snowflake, Oracle, Redis.
    Starting Price: $59.00
  • 4
    SQL Workbench

    SQL Workbench

    SQL Workbench

    SQL Workbench/J is a free, DBMS-independent, cross-platform SQL query tool. It is written in Java and should run on any operating system that provides a Java Runtime Environment. Its main focus is on running SQL scripts (either interactively or as a batch) and export/import features. Graphical query building or more advanced DBA tasks are not the focus and are not planned. Powerful export command to write text files (aka "CSV"), XML, HTML or SQL (including BLOB data). All user tables can be exported into a directory with a single command. Export files can be compressed "on-the-fly". Powerful text, XML and spreadsheet import. A set of files (including compressed files) can be imported from a directory with a single command. Foreign key constraints are detected to insert the data in the correct order. Compare two database schemas for differences. The XML output can be transformed into the approriate SQL ALTER statements using XSLT.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB