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 solution is stable."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The most advantageous feature is the logic building."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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 documentation is excellent and the solution has a very large and active community that supports it."
"It provided the capability to visualize a bunch of data in an organized way."
"The product is stable, reliable, and scalable."
"I use Visual Analytics for enterprise reporting."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"It's relatively simple to create basic dashboards and reports."
"It's a stable, reliable product."
"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."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"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."
"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."
"It is not as mature as competitors such as Tableau and QlikView."
"The licensing ends up being more expensive than other options."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"A bit more flexibility in the temperatization will be helpful."
"The product is expensive and needs the integration of more languages."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. Anaconda is rated 8.0, 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.
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