Microsoft Azure Machine Learning Studio Room for Improvement

AlexandreAkrour
CEO at Inosense
If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice. One of the problems that we had was that you could only execute the model inside the machine learning environment. Comparing this to Databricks, if you create a pipeline, it could be in a notebook and you have all the code and then you can export your notebook to some other tool directly, for example in Jupyter and Spark. If you change tools then you won't lose your assets. I would like to see improvements to make this solution more user-friendly. They need to have some tools, like Apache Airflow, for helping to build workflows. Better tools are needed to bring the data from existing storage into the environment where they can play with it and start to analyze what they already have, on-site. This is what the majority of people would like to do. A feature that would be useful is to have some standard data transportation functions. They have ADF, Azure Data Factory, but it's a little bit heavy to manipulate. If they could have something more user-friendly, like Apache Airflow, it would be very nice. View full review »
Software83c9
Software Engineer
Enable creating ensemble models easier, adding more machine learning algorithms. View full review »
Danilo Faria
System Analyst at a financial services firm with 1,001-5,000 employees
For my project/exercise, this tools was perfect. I would like to see modules to handle Deep Learning frameworks. View full review »
Find out what your peers are saying about Microsoft, Databricks, Knime and others in Data Science Platforms. Updated: October 2019.
378,809 professionals have used our research since 2012.
Hameez Ariz
Process Analyst
I personally would prefer if data could be tunneled to my model through a SAP ERP system. It also needs features of Excel, such as Pivot Tables, integrated. View full review »
Nitin-Jain
Senior Associate - Data Science at a consultancy with 51-200 employees
It could use to add some more features in data transformation, time series and the text analytics section. Microsoft should also include more examples and tutorials for using this product. View full review »
Rolf Lindgren
CEO at a recruiting/HR firm with 1-10 employees
Operability with R could be improved. View full review »
Find out what your peers are saying about Microsoft, Databricks, Knime and others in Data Science Platforms. Updated: October 2019.
378,809 professionals have used our research since 2012.
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