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Azure Databricks vs Azure Machine Learning: What are the differences?
What is Azure Databricks? Fast, easy, and collaborative Apache Spark–based analytics service. Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
What is Azure Machine Learning? A fully-managed cloud service for predictive analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Azure Databricks and Azure Machine Learning are primarily classified as "General Analytics" and "Machine Learning as a Service" tools respectively.
Some of the features offered by Azure Databricks are:
- Optimized Apache Spark environment
- Autoscale and auto terminate
- Collaborative workspace
On the other hand, Azure Machine Learning provides the following key features:
- Designed for new and experienced users
- Proven algorithms from MS Research, Xbox and Bing
- First class support for the open source language R
