Best Practices for Deleting Databases in Azure SQL

Azure databases are created according to the need of the user and can easily be deleted after completing the purpose. There can be various reasons why one needs to delete an SQL database. From which the most simple reason could be that the user no longer needs the database and want to save costs. Or due to duplication, or one wants to remove any sensitive or corrupted data from the database.

Whatever the reason, firstly, we should always consider taking a full backup before proceeding to deletion. It could be useful later if we need to re-create the same database. also, it’ll be more convenient in performing a comparison of old and new data, and reach a conclusion. In case, some error is detected during the comparison, we can easily revert the data to the previous one. To know how to create an Azure SQL database refer to Microsoft Azure – Create Azure SQL Database.

Here, we will talk about two simple ways to delete the Azure SQL database. Let’s proceed.

Using SQL Server Management Studio to delete SQL database

Step 1: Open the Azure portal and sign in following the proper credentials.

Step 2: click on the SQL database option.

Step 3: Select the database that is needed to delete and proceed to the overview option.

Step 4: here, a delete button will appear, as could be seen in the picture below.

Step: 5 by Clicking on the delete button, a new pop-up will appear on the right for confirmation, here, in the textbox, we simply need to type the database name and push on the delete button at the bottom, as could be seen in the image below.

It might take a few seconds be permanently deleting the database from the server.

Azure SQL Database enables users to build apps more quickly by providing a fully managed SQL database system in which users may install advanced query processing features like high-performance in-memory technologies and intelligent query processing based on their needs. It is also able to work with data in a variety of formats, including relational, graph, JSON, and spatial data.