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."The tool makes our ML model development a bit more efficient because everything is in one environment."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"The deployment is very good, where you only need to press a few buttons."
"Allows you to create API endpoints."
"We've had no problems with SageMaker's stability."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"It provided the capability to visualize a bunch of data in an organized way."
"We've found the product to be stable and reliable."
"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."
"Data handling is one of the best features of SAS Visual Analytics."
"It's relatively simple to create basic dashboards and reports."
"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."
"It integrates well with SAS, making it simple and quick for developers."
"AI is a new area and AWS needs to have an internship training program available."
"SageMaker would be improved with the addition of reporting services."
"The product must provide better documentation."
"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."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The solution is complex to use."
"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."
"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."
"The product is expensive and needs the integration of more languages."
"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."
"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."
"Colours used on report objects"
"The licensing ends up being more expensive than other options."
"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 reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"It is not as mature as competitors such as Tableau and QlikView."
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 Replicate, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and IBM Cognos.
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.
