We performed a comparison between IBM Watson Studio 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 scalability of IBM Watson Studio is great."
"It has a lot of data connectors, which is extremely helpful."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"Watson Studio is very stable."
"IBM Watson Studio consistently automates across channels."
"The system's ability to take a look at data, segment it and then use that data very differently."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"It is a very stable and reliable solution."
"It offered an excellent development environment while not touching our production cloud resources."
"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"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)."
"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."
"The initial setup was complex."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"We would like to see it more web-based with more functionality."
"The decision making in their decision making feature is less good than other options."
"I think maybe the support is an area where it lacks."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"So a better user interface could be very helpful"
"The solution's interface is very slow at times."
"We'd like to have the capability for installing more libraries."
"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."
"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."
"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."
IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. IBM Watson Studio is rated 8.2, while Saturn Cloud is rated 10.0. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, the top reviewer of Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend, whereas Saturn Cloud is most compared with Amazon SageMaker and Remote Desktop with Multi-user support by Aurora. See our IBM Watson Studio vs. Saturn Cloud report.
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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.
