MySQL Visual Query Builder

MySQL Query Builder is an advanced tool that facilitates the generation of MySQL queries of any complexity on a visual diagram without any SQL knowledge. Build, group, and arrange complicated tables, create JOINs, add, and update conditions in an intuitive drag-and-drop interface.

Query Builder greatly saves your time, boosts productivity, and doesn't require any SQL code knowledge to create and manipulate complex tables.

  • Automatically generate the script template for the SELECT, INSERT, UPDATE, and DELETE queries
  • Visualize relationships between tables on the diagram
  • Easily navigate through the database objects and zoom in/out the diagram
  • Set and update JOINS, WHERE, and HAVING conditions visually
  • Support for different query types

Introduction to MySQL Query Builder

This tool has an intuitive and easy-to-use interface, as well as extended data and table management capabilities. In the Query Builder pane, you can design and visualize tables, create JOINs, chain constraints for your queries, set and edit conditions. According to your configurations, the tool will automatically generate SQL code in the text editor. Watch the video to see MySQL Query Builder in action!

Use an advanced diagram to create queries visually

You can save your time and avoid errors while creating queries in the MySQL visual query editor.

  • Cancel monotonous coding and start “drawing” your query on the elaborated diagram
  • Drag–and–drop required tables to the diagram, join them, and select columns visually
  • Use zooming options for a better view
  • Easily modify the query type of the SELECT, INSERT, UPDATE, and DELETE statements

Create subqueries without a glitch

Reduce your tension while creating complex subqueries. Feel comfortable and manage them as a simple query. Using the tabbed window of the MySQL query tool, you can edit subqueries in separate windows and easily access the main query.

  • Define JOIN relationships for the table
  • Add the WHERE, HAVING, and GROUP BY constraints
  • Arrange columns in ascending or descending order

Get the elaborated expression editor to deftly set query criteria

Automate your work with query criteria. See and visually edit them on the separate tabs of our visual MySQL query tool where you're drawing your query. You don't need to type the columns' names or remember complex rules. Just select the required data from the lists and enjoy the results.

Have extended data management options

Data management has become more convenient and easier with Data Editor available in the MySQL Query Builder.

Effortlessly group, sort, and filter data on the grid of the MySQL query editor. For better data view and editing, use various modes: Grid or Card view.

Benefit from cached updates and manage your data based on your needs. Moreover, you can print or export query results to different data formats, append timestamp to the file name. To search and update table objects, you can use Data Viewer and Editor window, or apply full-text search on the grid.

Conclusion

dbForge Studio for MySQL has developed a query design tool with an intuitive and user-friendly drag-and-drop interface. MySQL Query Builder helps you represent MySQL queries graphically without in-depth SQL code knowledge. With the tool, you can easily and quickly create complex tables, add JOINs, set constraints for the query, place and edit conditions. While adding the table components, a SQL script is automatically generated that allows you to create a bugless SQL code of the table.

Along with MySQL Query Builder, dbForge Studio for MySQL provides a lot of useful and intelligent database development and management tools and capabilities.

dbForge Studio for MySQL

The most intelligent MySQL management tool

Availability in the editions of dbForge Studio for MySQL

Feature

Enterprise
Professional
Standard
Express
Visual Query Builder with support of SELECT statement
Yes
Yes
Yes
Visual Query Builder with support of INSERT, UPDATE, and DELETE statements
Yes
Yes
Yes
None
Visual Query Builder with support of subqueries
Yes
Yes
Yes
None