One of the great strengths of the collaboration between Azure and Databricks is that you have an Apache Spark platform that is fully integrated with all known Azure components such as Azure Data Factory and Azure Blob Storage, allowing for continuous pipelines in each project.
A related important aspect of Databricks is the ability to share different profiles, making it easier and more secure for different profiles such, as Data Engineers and Data Scientist, to work together on individual projects in the Databricks environment.
Databricks also have the option of Auto-Scaling your resources. This means that you can have a cluster that automatically adapts to what you need at the given time. In general, the entire clustering aspect is handled by Databricks, which makes it easy to get started with Cluster Computing even for beginners. When you reach a more advanced level in the process of spark, there are also opportunities to monitor your programs directly from Databricks to optimize these.