PopSQL Editor

Last Updated : 20 Sep, 2024

PopSQL is a versatile SQL management tool designed to enhance collaboration and streamline database management tasks. It provides a user-friendly interface that allows users to write SQL queries, visualize data and share results seamlessly.

This makes it an excellent alternative to traditional tools like MySQL Workbench. In this article, we will learn about PopSQL Editor in detail.

Overview

PopSQL is a versatile SQL management tool that allows us to work and collaborate on multiple database management tasks simultaneously.
Visualization of data is very important as it gives a clear picture of our client's/customers' data.
Here comes PopSQL which is a very fun tool to write SQL, visualize data and share results.
In this tutorial, we will see how we connect a MySQL server with PopSQL.
This can be also used as an alternative to MySQL workbench. Let's begin.

Pre-requisite:

Installing MySQL

Steps to Create and Connect Your MySQL Database Instance with PopSQL

Step 1: Open MySQL 8.0 Command Line Client. Your version may be different but no issues.

Step 2: Now, enter the root password that we had set during the MySQL installation.

Step 3: Now, create a database for example 'geeksforgeeks'. This database will be created under our localhost instance:

Step 4: After creating the database, open PopSQL, create an account and then follow the diagram:

Step 5: Click on the 'New Connection' and set up your database accordingly. The great thing about it is that it will work with most types of databases, including Microsoft SQL, MySQL, Redshift, Cassandra, MemSQL, BigQuery, etc.

For this tutorial, I will be setting up MySQL. So carefully fill all the following required fields i.e hostname, port, database, username, and password.

Step 6: After connecting, now you can start typing your queries. Click on the Run button to run your queries.

Conclusion

PopSQL stands out as a powerful tool for anyone looking to manage and visualize data from various database systems, including MySQL. Its intuitive interface and collaborative features make it an excellent choice for both individual users and teams. By following the steps outlined in this tutorial, users can easily connect to their MySQL databases and begin executing queries to gain insights from their data.