https://community.databricks.com/t5/data-engineering/platform-and-approach-comparison/m-p/3467#M506 <P>Hi @Saurabh Singh​&nbsp;</P><P></P><P>Great to meet you, and thanks for your question! </P><P></P><P>Let's see if your peers in the community have an answer to your question. Thanks.</P><P></P> Fri, 16 Jun 2023 06:00:58 GMT Anonymous 2023-06-16T06:00:58Z https://community.databricks.com/t5/data-engineering/platform-and-approach-comparison/m-p/3466#M505 <P>Do anyone have structure and crisp comparison between benefits of performing MLOps using below ways and what are the strong areas of each platform:</P><P>a) <B>Standalone Databricks</B> where all pipelines and orchestration done on Databricks and external third party tools.</P><P>b) <B>Databricks on AWS</B> where Databricks solely used for Data engineering activities and AWS Sagamaker/other AWS services used for all MLOps activities. </P><P>c) <B>Databricks on Azure</B> where Databricks solely for Data engineering activities and Azure ML/other Azure services used for all MLOps activities. </P><P>d) <B>Databricks on AWS</B> where <B>Databricks used for Data engineering and ML pipeline</B> activities, and AWS services used for quick deployment etc. </P><P>e) <B>Databricks on Azure</B> where Databricks used for <B>Data engineering and ML pipeline activities</B>, and Azure services used for quick deployment etc. </P><P></P><P></P> Wed, 07 Jun 2023 15:43:47 GMT https://community.databricks.com/t5/data-engineering/platform-and-approach-comparison/m-p/3466#M505 Saurabh707344 2023-06-07T15:43:47Z https://community.databricks.com/t5/data-engineering/platform-and-approach-comparison/m-p/3467#M506 <P>Hi @Saurabh Singh​&nbsp;</P><P></P><P>Great to meet you, and thanks for your question! </P><P></P><P>Let's see if your peers in the community have an answer to your question. Thanks.</P><P></P> Fri, 16 Jun 2023 06:00:58 GMT https://community.databricks.com/t5/data-engineering/platform-and-approach-comparison/m-p/3467#M506 Anonymous 2023-06-16T06:00:58Z