Cloudera Data Science Workbench vs Saturn Cloud comparison

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Cloudera Logo
2,070 views|1,837 comparisons
66% willing to recommend
Saturn Cloud Logo
102 views|35 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cloudera Data Science Workbench and Saturn Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The Cloudera Data Science Workbench is customizable and easy to use.""I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."

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"It offered an excellent development environment while not touching our production cloud resources.""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 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."

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Cons
"The tool's MLOps is not good. It's pricing also needs to improve.""Running this solution requires a minimum of 12GB to 16GB of RAM."

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"Public Clouds integration and sandbox environments would be a true game changer.""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.""We'd like to have the capability for installing more libraries.""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."

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Pricing and Cost Advice
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Questions from the Community
Top Answer:I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to… more »
Top Answer:The tool's MLOps is not good. It's pricing also needs to improve.
Top Answer:We have different use cases. Our banking use case uses machine learning to identify customer life events and recommend the best-suited card products. These machine-learning models are deployed in our… more »
Top Answer:There is plenty of computational resources (both GPU, CPU and disk space).
Top Answer:I would like more documentation about edge and advanced use cases. The official Docker images are only based on Debian: I would like to find official Docker images also based on other systems like… more »
Top Answer:Saturn Cloud provides a hosted environment where it's possible to work with various software programming tools (e.g., Jupyter Python notebooks, Julia, R and more). The system is containerized and… more »
Ranking
18th
Views
2,070
Comparisons
1,837
Reviews
1
Average Words per Review
353
Rating
6.0
8th
Views
102
Comparisons
35
Reviews
5
Average Words per Review
642
Rating
10.0
Comparisons
Also Known As
CDSW
Learn More
Saturn Cloud
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Overview

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.

Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.

Saturn Cloud is a good choice for data scientists and machine learning engineers who need a scalable, flexible, and easy-to-use environment.

Saturn Cloud also makes it easy to collaborate with other data scientists and machine learning engineers. You can share projects, notebooks, and data with others, and you can track changes to your work.

Sample Customers
IQVIA, Rush University Medical Center, Western Union
Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.
Top Industries
VISITORS READING REVIEWS
Financial Services Firm32%
Healthcare Company10%
Computer Software Company8%
Manufacturing Company7%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business9%
Midsize Enterprise10%
Large Enterprise81%
No Data Available
Buyer's Guide
Data Science Platforms
April 2024
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
771,157 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 2 reviews while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. Cloudera Data Science Workbench is rated 7.0, while Saturn Cloud is rated 10.0. The top reviewer of Cloudera Data Science Workbench writes "Useful for data science modeling but improvement is needed in MLOps and pricing ". On the other hand, the top reviewer of Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku and Google Cloud Datalab, whereas Saturn Cloud is most compared with Amazon SageMaker and Remote Desktop with Multi-user support by Aurora.

See our list of best Data Science Platforms vendors.

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.