Best practices for Azure Data Factory Integration Runtime


Integration runtime is a core component of . Users can use the integration runtime created by default in 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, 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.


This article was originally published by Microsoft's Azure Data Factory Blog. You can find the original article here.