We performed a comparison between Anaconda and Microsoft Azure Machine Learning Studio based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"The solution is stable."
"The most advantageous feature is the logic building."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The product's standout feature is a robust multi-file network with limited availability."
"It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"Azure's AutoML feature is probably better than the competition."
"The solution is really scalable."
"The product supports open-source tools."
"Auto email and studio are great features."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"It also takes up a lot of space."
"When you install Anaconda for the first time, it's really difficult to update it."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"Anaconda can't handle heavy workloads."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The solution would benefit from offering more automation."
"They should have a desktop version to work on the platform."
"I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system."
"I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated."
"Microsoft Azure Machine Learning Studio could improve by adding pixel or image analysis. This is a priority for me."
"The solution's initial setup process is complicated."
"Microsoft Azure Machine Learning Studio worked okay for me, so right now, I don't have any room for improvement in mind for it. What I'd like added to Microsoft Azure Machine Learning Studio in its next version is a categorization for use cases or a template that makes the use cases simple to map out, for example, for healthcare, medical, or finance use cases, etc. This would be very helpful for users of Microsoft Azure Machine Learning Studio, especially for beginners."
"The price of the solution has room for improvement."
"I would like to see modules to handle Deep Learning frameworks."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 54 reviews. Anaconda is rated 8.0, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". Anaconda is most compared with Databricks, Amazon SageMaker, Microsoft Power BI, IBM SPSS Statistics and IBM Watson Studio, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Alteryx. See our Anaconda vs. Microsoft Azure Machine Learning Studio report.
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