Azure Synapse Notebooks Vs Azure Databricks notebooks

Question

I was going through the features of Azure Synapse Notebooks Vs Azure Databricks notebooks.

1. Are there any major differences between these apart from the component they belong to ?
2. Are there any scenarios where one is more appropriate over other?

Answer 1

1.Are there any major differences between these apart from the component they belong to ?

Azure Synapse:

• It has Open-source Apache Spark (thus not including all features of Databricks Runtime).
• Supports Apache Spark 3.1 (GA) and 3.2 (Preview).
• The supported notebook is Nteract Notebooks.
• Synapse provides co-authoring of a notebook with a condition where one person needs to save the notebook before the other person observes the changes.

Azure Databricks:

• It has an Industry leading Spark (Databricks Runtime) built on a highly optimized version of Apache Spark offering 50x performance.
• Already has support for Spark 3.2.1 with DBR 10.5.
• The supported notebook is Databricks Notebooks.
• Databricks Notebooks support real-time co-authoring (both authors see the changes in real-time) along with automated version control.

2.Are there any scenarios where one is more appropriate over other?

These are the scenarios:

• Any requirement for transformations on real time scenarios, go with Azure Databricks.
• When you have the requirement for Data Warehousing and SQL data analysis, then go with Azure Synapse Analytics.
• If you have any requirement for the development of Machine learning (ML), then go with Azure Databricks that provides you with advanced ML workflows with Git support.
• When you have the requirement to build interactive reports, you can go with Azure Synapse Analytics where you can access Power BI from the Azure Synapse Studio IDE.

SOURCE:
https://hevodata.com/learn/azure-synapse-vs-databricks/#diff2