Vertex AI Pipelines versus Cloud Composer
In this section, we will talk about some of the key similarities and differences between Vertex AI Pipelines and Cloud Composer when it comes to orchestrating ML workflows. Based on this comparison, we can choose the best solution for our next ML project. The following is a list of points that summarize the important aspects of both orchestrators for ML-related tasks:
- Both are easy to use and divide the overall ML workflow into smaller execution units in terms of tasks (Composer) or containerized components (Vertex AI Pipelines).
- Passing data between components is similar, and it may require an intermediate storage system if the data size is large.
- Vertex AI Pipelines have an extensive list of prebuilt components available open source and thus developers can avoid writing a lot of boilerplate code. On the other hand, in the case of a Composer-based pipeline, we need to write the entire workflow.
- Based on the ease of setting...
