Best practices for Azure Data Factory Integration Runtime

Posted by

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Community Hub.

Integration runtime is a core component of Azure Data Factory. Users can use the integration runtime created by default in Azure Data Factory or create it themselves, depending on the actual situation. Since there are multiple types of Integration runtimes, it is necessary to properly select the most suitable type during actual use.


We're excited to share a new article to help you determine the right integration runtime configuration for your scenario. 


In this article, you will find two sections:

  • A comparison of the different types of integration runtimes

  • Example architectures for integration runtimes

In the first part, we will explain in detail the characteristics of each integration runtime, how to choose a suitable integration runtime, and all the factors to consider.


The second part mainly lists the recommended architectures for each integration runtime and the main considerations in the construction process. These architectures may not be suitable for all situations, but can be used as a reference in the practice.


We hope that this helps! We're always open to feedback so please let us know your thoughts in the comments below, give feedback to the documentation, or add to our Ideas forum.


Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.