We performed a comparison between Anaconda and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"The virtual environment is very good."
"I can use Anaconda for non-heavy tasks."
"It's relatively simple to create basic dashboards and reports."
"The product is stable, reliable, and scalable."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"I use Visual Analytics for enterprise reporting."
"The flexibility of the configuration is valuable to me."
"The speed to display charts and react to users' choices is great."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda should be optimized for RAM consumption."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda can't handle heavy workloads."
"When you install Anaconda for the first time, it's really difficult to update it."
"The solution would benefit from offering more automation."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The solution should improve its graphics."
"It is not as mature as competitors such as Tableau and QlikView."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The licensing ends up being more expensive than other options."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Anaconda is rated 7.8, while SAS Visual Analytics is rated 8.0. 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 Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.
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