We performed a comparison between Databricks 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."Databricks integrates well with other solutions."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"It's easy to increase performance as required."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The simplicity of development is the most valuable feature."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Databricks has helped us have a good presence in data."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"It offered an excellent development environment while not touching our production cloud resources."
"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."
"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"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."
"There are no direct connectors — they are very limited."
"The tool should improve its integration with other products."
"Databricks can improve by making the documentation better."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"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."
"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."
"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."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. Databricks is rated 8.2, while Saturn Cloud is rated 10.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas Saturn Cloud is most compared with Amazon SageMaker and Remote Desktop with Multi-user support by Aurora. See our Databricks vs. Saturn Cloud report.
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