(4.4 / 5)7+ Ratings

Saturn Cloud Reviews

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Overall Rating

4.4

7 Reviews

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About Saturn Cloud

Saturn Cloud is a data science platform that helps teams move into the cloud without having to switch tools. It provides customizable, ready-to-use cloud environments for collaborative data teams. With Saturn Cloud, teams can run analyses, train models, deploy APIs, and more.

Everything that runs in Saturn Cloud is just a Docker container with code from your Git repositories. If it can be installed in a Docker container, it can run in Saturn Cloud.

Saturn Cloud supports scaling up data science by running on a 4TB instance, using 8 GPUs, or connecting a distributed cluster of Dask workers. It natively supports Python and R, with support for additional languages available.

Saturn Cloud also allows users to put their code into production with scheduled jobs or continuous deployments. It is compatible with Python, R, or other languages and IDEs like VSCode and PyCharm.

In summary, Saturn Cloud is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Hope this helps! Feel free to ask if you have more questions.

Saturn Cloud Pros & Cons

Pros of using Saturn Cloud include:

JupyterLab to run your scripts.
The basic compute is a T4-XLarge GPU with 4 CPU cores and 16Gi RAM which is fast even for complex models.
Favorable prices.
Reliable customer service.
Regular free compute every month.
Unlike Google Colab, the free part of Saturn Cloud is much more robust.
The paid part is much more affordable compared to other platforms like Google Colab.

Cons of using Saturn Cloud:

While Saturn Cloud offers a robust platform, it might not be as widely recognized or used as some other platforms in the industry.
Some users might find the interface less intuitive compared to other platforms.
There might be a learning curve for users who are not familiar with Jupyter notebooks or the specific tools and libraries supported by Saturn Cloud.

Please note that these pros and cons are based on user reviews and personal experiences. The actual experience may vary depending on specific needs and requirements. Hope this helps! Feel free to ask if you have more questions.

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Saturn Cloud Customer Reviews (7)

0/5

Patrick Eiffel

Verified Buyer

Jun 18, 2024

Marcel Fruehauf

Verified Buyer

Jun 17, 2024

Octave Galarneau

Verified Buyer

Jun 17, 2024

Scott Watts

Verified Buyer

Jun 17, 2024

Megan Turner

Verified Buyer

Jun 17, 2024

Bilqiz Korgay

Verified Buyer

Jun 16, 2024

Ines Propst

Verified Buyer

Jun 14, 2024

Saturn Cloud Customer’s Q&A

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Saturn Cloud Features and Benefits

Saturn Cloud is a platform that provides customizable, ready-to-use cloud environments for collaborative data teams. Here are some of its key features and benefits:

Flexibility: Everything that runs in Saturn Cloud is just a docker container with code from your Git repositories. If it can be installed in a Docker container, it can run in Saturn Cloud.
Scalability: Run on up to 4TB of RAM and 8 GPU machines. Or scale out with parallel processing jobs, Dask and Ray clusters.
Compatibility: Compatible with every ML framework (PyTorch, Tensorflow, Scikit-Learn, XGBoost, lightGBM, RAPIDS) and every visualization stack (streamlit, matplotlib, plotly, dash, bokeh, panel).
Controls and Governance: Control the types of machines and the amount of spend your team members can consume, so there are no surprises at the end of the month.
Resources: Incredible resources with high RAM and compute, GPUs, and distributed Dask clusters available.
Productionize Code: With scheduled jobs or continuous deployments. Totally compatible with Python, R, or other languages and IDEs like VSCode and PyCharm.
Manage All Your Work in One Place: Saturn Cloud natively supports Python and R, with support for additional languages available. Use built-in JupyterLab or R servers online, or connect from preferred IDE like VSCode or PyCharm with SSH. Built-in functionality for git repos so you can easily manage your code.

These features make Saturn Cloud a powerful tool for data scientists and teams, enabling them to run analyses, train models, deploy APIs, and more efficiently and effectively. Hope this helps! Feel free to ask if you have more questions.

Saturn Cloud Pricing

Saturn Cloud offers several pricing plans:

Hosted Free: This plan is for individual data scientists, hobbyists, and exploratory learners. It costs $0 per month and includes 64GB RAM and GPU instances, access to JupyterLab, RStudio, and Dask, and the ability to create models, dashboards, and jobs.
Hosted Pro: This plan offers more hardware - up to 4TB of RAM and 8 GPUs. It is billed hourly in $10 increments.
Hosted Orgs: This plan is for teams of data scientists, ML/AI engineers, and researchers. It requires a $5 credit purchase to start and is billed by the hour in $10 increments. It allows resources to be shared easily across the team and includes admin tools to monitor and control usage.
Enterprise: This plan is for teams, startups, and research groups requiring additional security. It installs in cloud environments offered by AWS, Microsoft Azure, Google, Oracle, and CoreWeave, and includes advanced security features and dedicated technical support.

For Hosted, there are hourly rates for compute and storage, which are billed in $10 increments. If a user misses a payment, their account will be automatically downgraded to the free tier.

Please note that this information is subject to change and it's always a good idea to check the latest pricing on the Saturn Cloud website.

Hope this helps! Feel free to ask if you have more questions.

Payment Method

For Saturn Cloud Hosted, resources run in their AWS account. This is free for Hosted Free users, and paid for Hosted Pro and Hosted Organizations users. Under the paid plan, there is no free tier. Users simply pay the hourly rate for compute and storage.

When a user first signs up for Saturn Cloud Hosted Pro, they will be charged $5 for initial up front credits. Every time a user uses $10 worth of resources, their credit card will be charged. If a user would like to be billed at larger intervals, they can contact Saturn Cloud.

If a user misses a payment, since Saturn Cloud has already paid AWS for the resources consumed, the user's account will be automatically downgraded to the free tier. This also means that the user's data will be deleted after approximately 30 days of inactivity.

Please note that this information is subject to change and it's always a good idea to check the latest Terms of Service on the Saturn Cloud website.

Hope this helps! Feel free to ask if you have more questions.

Saturn Cloud FAQs

Saturn Cloud Alternatives

Here are some of the top alternatives to Saturn Cloud:

Vertex AI: A managed machine learning platform that helps build, train, and deploy ML models faster and easier.
Alteryx: Drives transformational business outcomes through unified analytics, data science, and process automation.
SAP HANA Cloud: A cloud-based data and analytics platform that provides fast and easy access to your data.
Databricks Data Intelligence Platform: A unified analytics platform that accelerates innovation by unifying data science, engineering, and business.
MATLAB: A high-level language and interactive environment for numerical computation, visualization, and programming.
IBM SPSS Statistics: A software package used for interactive, or batched, statistical analysis.
Amazon SageMaker: A fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Microsoft Azure Machine Learning: A cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models.
Cloudera Machine Learning: Provides rapid, secure, and self-service machine learning on Cloudera's enterprise data cloud.
BigML: A consumable, programmable, and scalable machine learning platform that makes it easy to solve and automate classification, regression, time series forecasting, cluster analysis, anomaly detection, and topic modeling tasks.

These platforms offer a range of features and capabilities that can serve as viable alternatives to Saturn Cloud. However, the best choice depends on specific needs and requirements. It's recommended to explore each platform and consider factors such as ease of use, scalability, cost, and support when making a decision. Hope this helps! Feel free to ask if you have more questions.

How To Open A Saturn Cloud Account?

To open an account on saturncloud.io, follow these steps:

Visit saturncloud.io.
Click on Start for Free.
Follow the prompts to provide the necessary information.
After completing the prompts, you will be logged into your new account.

If you are an Enterprise customer, you will need to use the custom URL provided to you. Once the account is created, you can start using the various resources provided by Saturn Cloud, such as Jupyter Server, R Server, Job, and Deployment. Each resource is independent, allowing you to have a resource for each project or analysis you are working on.

Remember, Saturn Cloud is a data science platform that helps people quickly do work using whatever technology they need, including high-memory computing, GPU processors, and Dask clusters. You can use Saturn Cloud with Python, R, or nearly any other programming language.

Please note that this is a general guide and the actual process may vary slightly depending on the specific requirements of Saturn Cloud. If you encounter any issues, it's recommended to refer to the official Saturn Cloud documentation or contact their support for assistance.

Hope this helps! Feel free to ask if you have more questions.

Saturn Cloud Return Policy?

The Return Policy for Saturn Cloud is not explicitly stated on their website. However, the Terms of Service provide some information about the agreement between the user and Saturn Cloud. It is recommended to read these terms carefully before using the services.

If a user wishes to cancel their account, they can do so by emailing support@saturncloud.io.

For any issues or concerns, users can reach out to Saturn Cloud representatives during US business hours for help with using the cloud resources. Issues can also be reported via an anonymous Google Form or by email at ethics@saturncloud.io.

Please note that this information is subject to change and it's always a good idea to check the latest Terms of Service on the Saturn Cloud website.

If you need more specific information, it's recommended to contact Saturn Cloud directly. They should be able to provide the most accurate and up-to-date information regarding their return policy.

Hope this helps! Feel free to ask if you have more questions.