topic ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML in Machine Learning

ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML

Saurabh707344 — Wed, 07 Jun 2023 15:54:41 GMT

What complexity of ML models are feasible to be created in Databricks ML and further that we have to rely on AWS Sagamaker or Azure ML ?

Do we have clear segragation around it by ML usecases ?

Re: ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML

Anonymous — Fri, 16 Jun 2023 06:03:10 GMT

Hi @Saurabh Singh

Great to meet you, and thanks for your question!

Let's see if your peers in the community have an answer to your question. Thanks.

Re: ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML

shyam_9 — Wed, 21 Jun 2023 17:49:32 GMT

Hi @saurabh707344,

In Databricks, you can handle everything end to end. Creating, and testing a model to deploying and serving it through a endpoint. You can also, track the experiments and compare them and maintain a CI/CD. You can always contact the sales/accounts team from Databricks, they have more details based on your usecase. https://www.databricks.com/company/contact

Re: ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML

corvo — Wed, 28 Jun 2023 19:30:22 GMT

In Databricks, your usecase can be solved by the notebooks provided here in databricks. There is no dependency on AWS sagemaker directly.
All the model traiing and deployement that can be done in sagemaker, is supported via databricks as well.