Advanced Query Tool

Advanced Query Tool

Advanced Query Tool is an open-source data querying and reporting tool that allows users to connect to databases and files to visually build SQL queries. It has an easy-to-use graphical interface to generate complex queries without coding.
Advanced Query Tool image
sql querying reporting

Advanced Query Tool: Open-Source Data Querying & Reporting

Advanced Query Tool connects users to databases and files, enabling visual SQL query building through a simple graphical interface, ideal for complex queries without coding.

What is Advanced Query Tool?

Advanced Query Tool (AQT) is an open-source, cross-platform data querying and reporting tool designed to simplify and speed up the process of connecting to databases, files, applications and services to visually build SQL queries and generate reports.

With its easy-to-use graphical interface, AQT allows users to generate complex SQL queries without coding through simple point and click actions. It supports connections to almost all SQL & NoSQL databases like MySQL, PostgreSQL, MongoDB as well as files formats such CSV, JSON, Excel.

Key features include:

  • Intuitive visual query builder
  • Support for joins, subqueries, functions etc
  • Connections to databases, files and more
  • Shareable queries and reports
  • Parameterized queries
  • Export results to CSV/Excel formats
  • Script editor for custom SQL
  • Chart builder with various charts
  • Scheduler for automated execution

AQT runs on Windows, Mac and Linux platforms. It can be used by developers, analysts, testers, DBAs and more for querying, reporting and analysis activities.

Advanced Query Tool Features

Features

  1. Visual query builder
  2. Support for various databases like MySQL, PostgreSQL, SQLite, etc
  3. Export results to CSV/Excel
  4. Parameterized queries
  5. Query scheduling
  6. Charts and data visualization

Pricing

  • Open Source
  • Free

Pros

User-friendly GUI

No SQL coding required

Cross-platform availability

Open source and free

Support for multiple data sources

Cons

Limited to SQL-based sources

Steep learning curve for advanced features

Not suitable for large datasets

Lacks some advanced SQL features


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