A visual SQL query builder can be a handy tool for easily creating and editing SQL queries, while minimizing the risk of making mistakes. It ensures accurate results, too, and you don’t need to have extensive SQL knowledge or coding prowess to use it, as it offers drag-and-drop and point-and-click simplicity. That makes it practical for non-technical users who might need to create SQL queries fast and conveniently.
If you’re looking for a visual query builder for SQL, you might want to check out these top four options to get started.
This online visual SQL query builder is easily accessible from a browser with a visual query builder that lets you drag and drop database tables. Use it to build SQL server database ad hoc reports and SQL queries, parameterized reports, D3 based charts, and online data dashboards. DBHawk also lets you schedule reports with ease. Consider trying it for free to learn how helpful it is.
This database tool runs on all major operating systems and it connects to many commercially viable database platforms. Its features, GUI and functions have been optimized for more than 10 years with help from continuous feedback from its customers, which includes data analysts, database administrators, and developers. It is easy to use and simplifies importing and exporting files.
3. SQL Prompt
A visual SQL query builder should make it easier and effortless to write, analyze, refactor, and format SQL, and that’s exactly what this tool can do. It autocompletes code and handles the object renaming, formatting, and other distractions, so you can focus on how the code works. You can try it for 28 days free.
4. Active Query Builder
Software developers may rely on this visual SQL query builder to visually create SLQ queries and obtain data from databases quickly and safely. The full-featured suite is designed specifically for programmers looking to make database schema clearer for the end-users. It has a robust API and SQL parser for analyzing, modifying, and building new queries from scratch. It works with any database server and supports a lot of SQL dialects.