What stands out most is the unified platform that combines data engineering , analytics, machine learning in one workspace. For developers and test teams, the note-book-based development and integration with Spark made it easier to prototype , validate transformations , and test data quality rules. The ability to connect smoothly with Azure services like ADLS Synapse and Devops pipelines also makes it practical for enterprise environments.
February 3, 2026
Steep learning curve, especially for teams new to MLOps. The UI is nice looking but sometimes it is not intuitive enough and some important details are hidden behind multiple screens. I find pipeline debugging particularly frustrating as sometimes you need to dig manually through several folders to identify root causes.
January 21, 2026