Queries for Linux

A workbench to interact with relational databases

Overview

Queries is a software tool for Linux that helps you work with relational databases.

It is mainly designed for users who want to write and run SQL queries, especially with Postgres databases.

Queries gives you easy access to important information such as schemata, tables, views, and columns while you write your SQL code.

This feature helps you understand and manage your database structure better.

One key feature of Queries is that it checks your SQL statements on your own computer before sending them to the database.

This means you get quick feedback on any errors, making it easier to fix problems and save time.

It also supports encrypted connections using SSL/TLS.

This security feature lets you connect safely to remote databases, protecting your data from unauthorized access.

Queries runs SQL commands asynchronously when it can, which helps speed up the execution of long sequences of commands.

For data visualization, you can create line, scatter, and bar charts directly inside Queries using plain SQL and a JSON format.

This means you do not need other tools to make these graphs.

You can also export your query results as simple CSV files or generate dynamic HTML reports from tables and views.

Before using Queries, check if it fits your workflow and your preferences.

It is a practical tool for Linux users looking for a safe and efficient way to write and manage SQL queries on relational databases.

Pros

  • View relevant contextual information (schemata, tables, views and columns) when writing SQL.
  • SQL statements are parsed and verified at the client side for immediate feedback and faster debugging.
  • Support for encrypted connections via SSL/TLS, allowing you to interact safely with remote databases.

Cons

  • Evaluate compatibility with your workflow and preferences.

Software details

Platform
Linux
Free license
Yes
Project license
GPL-3.0-or-later
Mobile friendly
No
Bug tracker
https://github.com/limads/queries/issues

Keywords

Database SQL Postgres

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