Published on

November 24, 2016

Performance Analysis of Backup to Azure in SQL Server

When it comes to working with backups and compression in SQL Server, it is natural for us to compare the space savings achieved. However, one important aspect that often gets overlooked is the impact on time. In this article, we will explore the performance analysis of backup to Azure in SQL Server.

In a previous blog post, I discussed the space savings achieved when working with backups and compression. A reader raised a valid question about the time it takes to perform the same operation. To address this, I ran the same script and collected the time taken for the backup process.

Upon analyzing the results, it was evident that there was hardly any significant difference in time when working with backup compressions. Even for large backups, the time difference was negligible, making it a non-issue for database administrators (DBAs).

However, I wanted to explore a different scenario and see how Azure-based backup to the URL would perform. To test this, I used a script to backup the same database and measured the performance metrics.

The results showed a significant difference in time for Azure-based backup. This can be attributed to the fact that the backup needs to be streamed onto Azure in parallel, resulting in increased network bandwidth usage. As a result, the overall process takes longer.

Based on my test with a small database, the time taken for Azure-based backup was close to twice as long as the traditional backup method. This is an important consideration for DBAs when working with Backup to Azure.

It is worth noting that the performance analysis may vary depending on the size of the databases being backed up. If you are using the backup to Azure capability in your environments, I would love to hear about your experiences. Please share your thoughts and insights in the comments section.

Thank you for reading this article on the performance analysis of backup to Azure in SQL Server. Stay tuned for more informative content on SQL Server.

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