If you're a Data Engineer working on Azure, you'll likely encounter Synapse or Databricks.



I acknowledge that there are other solutions like HDInsights (which is somewhat outdated), Microsoft Fabric (still quite new and lacking a clear engineering focus for data engineering), or Azure Data Explorer, which represents a different paradigm.



Let's focus on Synapse and Databricks.



So, which one should you choose?



Based on my experience, engineers tend to prefer Databricks, whereas organizations often opt for Synapse and expect engineers to manage it. There are numerous arguments in favor of each product. Both are accessible through the same Azure portal and have considerable overlap.



This post aims to highlight the differences between the two, and I've summarized these in the accompanying picture.



Which one do you prefer?



#dataengineering #surfalytics #synapse #databricks #azure #azuredataengineer

https://www.linkedin.com/posts/dmitryanoshin_dataengineering-surfalytics-synapse-activity-7143313309646094336-oigm