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."It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The solution is stable."
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"It helped us find find the optimal area for where our warehouse should be located."
"I can use Anaconda for non-heavy tasks."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"The interface is very intuitive."
"The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects. It's simple to connect and view the results. Additionally, the solution works well with other Microsoft solutions, such as Power Automate or SQL Server. It is easy to use and to connect for analytics."
"The most valuable feature is data normalization."
"Auto email and studio are great features."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"The solution would benefit from offering more automation."
"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."
"Anaconda should be optimized for RAM consumption."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"When you install Anaconda for the first time, it's really difficult to update it."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"The price could be improved."
"In terms of data capabilities, if we compare it to Google Cloud's BigQuery, we find a difference. When fetching data from web traffic, Google can do a lot of processing with small queries or functions."
"I would like to see modules to handle Deep Learning frameworks."
"Stability-wise, you may face certain problems when you fail to refresh the data in the solution."
"The solution's initial setup process is complicated."
"Using the solution requires some specific learning which can take some time."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
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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 51 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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