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 virtual environment is very good."
"The notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"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 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 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 most advantageous feature is the logic building."
"The speed to display charts and react to users' choices is great."
"It provided the capability to visualize a bunch of data in an organized way."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"I use Visual Analytics for enterprise reporting."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"It's a stable, reliable product."
"The technical support services are good."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda can't handle heavy workloads."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The installation process can be a bit complex."
"It is not as mature as competitors such as Tableau and QlikView."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"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 licensing ends up being more expensive than other options."
"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."
"The solution is a little weak at the front end."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while SAS Visual Analytics is ranked 8th 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.
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.
