Flexibility, and scalability also dont have to worry about maintaining it can also do schedule maintenance
Dislike is not specific it is a bit costly and SQL data pool connectivity needs to be improved. It hangs when a large amount of data comes from more than 100K rows also query takes time to run sometimes it gives a timeout error.
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Flexibility, and scalability also dont have to worry about maintaining it can also do schedule maintenance
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Dislike is not specific it is a bit costly and SQL data pool connectivity needs to be improved. It hangs when a large amount of data comes from more than 100K rows also query takes time to run sometimes it gives a timeout error.
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...