Forum Discussion
Migrating from Azure Machine Learning to Fabric
Hi pmscorca
Thank you for reaching out microsoft fabric community forum.
While there's no official feature comparison yet between Azure Machine Learning and Fabric Data Science, here’s a overview:-
Azure ML is a mature, full-featured platform ideal for advanced ML workloads, custom training, MLOps, and real-time inference. It’s best for data scientists and engineers working on complex or large-scale models.
-
Fabric Data Science is newer and focuses on ease of use with strong integration into the Fabric ecosystem (OneLake, Power BI, Spark). It’s well-suited for simpler ML tasks, exploratory analysis, and business-user collaboration.
Use Fabric if you want a low-code, integrated environment for lighter workloads.
Stick with Azure ML for production-ready ML, deep customization, and advanced features.
If this solution helps, please consider giving us Kudos and accepting it as the solution so that it may assist other members in the community
Thank you.-
Hi pmscorca
Thank you for reaching out microsoft fabric community forum.
While there's no official feature comparison yet between Azure Machine Learning and Fabric Data Science, here’s a overview:
-
Azure ML is a mature, full-featured platform ideal for advanced ML workloads, custom training, MLOps, and real-time inference. It’s best for data scientists and engineers working on complex or large-scale models.
-
Fabric Data Science is newer and focuses on ease of use with strong integration into the Fabric ecosystem (OneLake, Power BI, Spark). It’s well-suited for simpler ML tasks, exploratory analysis, and business-user collaboration.
Use Fabric if you want a low-code, integrated environment for lighter workloads.
Stick with Azure ML for production-ready ML, deep customization, and advanced features.
If this solution helps, please consider giving us Kudos and accepting it as the solution so that it may assist other members in the community
Thank you.