We performed a comparison between Anaconda and SAS Enterprise Miner 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 helped us find find the optimal area for where our warehouse should be located."
"The notebook feature is an improvement over RStudio."
"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."
"I can use Anaconda for non-heavy tasks."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"Good data management and analytics."
"The technical support is very good."
"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 the decision tree creation."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"he solution is scalable."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"I like the way the product visually shows the data pipeline."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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 solution would benefit from offering more automation."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Anaconda should be optimized for RAM consumption."
"The initial setup is challenging if doing it for the first time."
"The ease of use can be improved. When you are new it seems a bit complex."
"The visualization of the models is not very attractive, so the graphics should be improved."
"Technical support could be improved."
"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."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while SAS Enterprise Miner is ranked 17th in Data Science Platforms with 13 reviews. Anaconda is rated 8.0, 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 KNIME. See our Anaconda vs. SAS Enterprise Miner report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
