We performed a comparison between MathWorks Matlab 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."Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."
"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Simplifies report designs and quickly displays tables and graphs."
"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."
"The flexibility of the configuration is valuable to me."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"We've found the product to be stable and reliable."
"The technical support services are good."
"The product is stable, reliable, and scalable."
"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."
"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."
"A bit more flexibility in the temperatization will be helpful."
"The solution is a little weak at the front end."
"The solution should improve its graphics."
"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 reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The product is expensive and needs the integration of more languages."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"Colours used on report objects"
MathWorks Matlab is ranked 14th in Data Science Platforms with 2 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. MathWorks Matlab is rated 8.6, while SAS Visual Analytics is rated 8.0. The top reviewer of MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". MathWorks Matlab is most compared with IBM SPSS Statistics, Databricks, Anaconda, Microsoft Azure Machine Learning Studio and TIBCO Data Science, 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.
