We performed a comparison between Anaconda and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"The notebook feature is an improvement over RStudio."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"The solution is stable."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The most advantageous feature is the logic building."
"Good data management and analytics."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"I like the way the product visually shows the data pipeline."
"The solution is very good for data mining or any mining issues."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is the decision tree creation."
"The technical support is very good."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"Anaconda can't handle heavy workloads."
"Anaconda should be optimized for RAM consumption."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Technical support could be improved."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The product must provide better integration with cloud-native technologies."
"The user interface of the solution needs improvement. It needs to be more visual."
"The solution is much more complex than other options."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"Virtualization could be much better."
"The visualization of the models is not very attractive, so the graphics should be improved."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while SAS Enterprise Miner is ranked 15th in Data Science Platforms with 13 reviews. Anaconda is rated 7.8, while SAS Enterprise Miner 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 SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and SAS Analytics.
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