We performed a comparison between Amazon SageMaker and Saturn Cloud based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"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 tool makes our ML model development a bit more efficient because everything is in one environment."
"We were able to use the product to automate processes."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"Allows you to create API endpoints."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device."
"There is plenty of computational resources (both GPU, CPU and disk space)."
"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."
"It offered an excellent development environment while not touching our production cloud resources."
"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."
"AI is a new area and AWS needs to have an internship training program available."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"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 must provide better documentation."
"The documentation must be made clearer and more user-friendly."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."
"We'd like to have the capability for installing more libraries."
"Public Clouds integration and sandbox environments would be a true game changer."
"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning."
"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. Amazon SageMaker is rated 7.4, while Saturn Cloud is rated 10.0. 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 Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Dataiku, whereas Saturn Cloud is most compared with Remote Desktop with Multi-user support by Aurora. See our Amazon SageMaker vs. Saturn Cloud report.
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