We performed a comparison between Amazon SageMaker 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."We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed."
"The few projects we have done have been promising."
"We've had no problems with SageMaker's stability."
"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The deployment is very good, where you only need to press a few buttons."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The technical support services are good."
"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."
"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 provided the capability to visualize a bunch of data in an organized way."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"The speed to display charts and react to users' choices is great."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Lacking in some machine learning pipelines."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"The solution is complex to use."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The solution requires a lot of data to train the model."
"The documentation must be made clearer and more user-friendly."
"Colours used on report objects"
"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."
"It is not as mature as competitors such as Tableau and QlikView."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The licensing ends up being more expensive than other options."
"The solution is a little weak at the front end."
"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 reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Amazon SageMaker is rated 7.4, while SAS Visual Analytics is rated 8.2. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and H2O.ai, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Qlik Sense.
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.
