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 were able to use the product to automate processes."
"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."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"The most valuable feature of Amazon SageMaker for me is the model deployment service."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The deployment is very good, where you only need to press a few buttons."
"We've had no problems with SageMaker's stability."
"I use Visual Analytics for enterprise reporting."
"The technical support services are good."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"It integrates well with SAS, making it simple and quick for developers."
"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 alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"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."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
"SageMaker would be improved with the addition of reporting services."
"The solution is complex to use."
"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."
"Lacking in some machine learning pipelines."
"SAS Visual Analytics could be more user-friendly."
"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."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"Colours used on report objects"
"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 product is expensive and needs the integration of more languages."
"The licensing ends up being more expensive than other options."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. Amazon SageMaker is rated 7.4, while SAS Visual Analytics is rated 8.0. 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 Hugging Face, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and IBM SPSS Modeler.
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.
