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Saturn Cloud

Saturn Cloud

Overview

What is Saturn Cloud?

Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in…

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Recent Reviews

TrustRadius Insights

Saturn Cloud is a versatile platform that has been widely adopted by organizations across various industries to address their business …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 12 features
  • Multiple Model Development Languages and Tools (12)
    8.9
    89%
  • Visualization (12)
    8.8
    88%
  • Interactive Data Cleaning and Enrichment (12)
    8.7
    87%
  • Interactive Data Analysis (13)
    8.7
    87%

Reviewer Pros & Cons

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Pricing

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Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://saturncloud.io/plans/saturn_clo…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $10 hourly $5 credit purchase to start
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Product Demos

Getting Started with Saturn Cloud

YouTube
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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

8.6
Avg 8.5

Data Exploration

Ability to explore data and develop insights

8.8
Avg 8.4

Data Preparation

Ability to prepare data for analysis

8.8
Avg 8.2

Platform Data Modeling

Building predictive data models

8.8
Avg 8.5

Model Deployment

Tools for deploying models into production

8.8
Avg 8.6
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Product Details

What is Saturn Cloud?

Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a wholly hosted environment. Saturn Cloud is presented as flexible and straightforward for new data scientists while giving senior and experienced staff the capabilities and configurability they need.

Because data scientists and analysts work best using the tools they want to use, Saturn Cloud enables users to work in their preferred languages, IDEs, and machine learning libraries. It offers full Git integration, shared custom images, and secure credential storage so users can scale and build a team in the cloud. With features like jobs and deployments, it supports the entire machine learning lifecycle from experimentation to production. Its features and built-in tools are shareable within teams, so time is saved and work is reproducible.

Saturn Cloud Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Interactive Data Cleaning and Enrichment
  • Supported: Data Encryption

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Automated Machine Learning
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Saturn Cloud Screenshots

Screenshot of Enterprise homepageScreenshot of Screenshot of Screenshot of

Saturn Cloud Video

Setting up JupyterHub

Saturn Cloud Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Saturn Cloud starts at $10.

Reviewers rate Data Encryption and Multiple Model Development Languages and Tools and Flexible Model Publishing Options highest, with a score of 8.9.

The most common users of Saturn Cloud are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(49)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Saturn Cloud is a versatile platform that has been widely adopted by organizations across various industries to address their business problems related to machine learning and data processing workflows. Users find great value in the platform's ability to quickly spin up environments for ML model testing and deployment, enabling them to efficiently experiment with different strategies and models. With the increasing demand for their services, users appreciate Saturn Cloud's low-friction provisioning and deployment capabilities, which have helped them handle scalability challenges effectively.

One of the notable strengths of Saturn Cloud is its exceptional performance. Built on robust cloud infrastructure, the platform can effortlessly handle large datasets and complex computations, providing users with top-notch performance. The positive experiences of users have led to widespread recommendations of Saturn Cloud to anyone in the data science or analytics field. It has garnered a reputation as a reliable, powerful, and easy-to-use platform.

Users from different domains have found specific use cases for Saturn Cloud. For instance, researchers in the remote sensing industry benefit from Saturn Cloud's efficiency in training models and improving overall productivity while saving time and frustration. In healthcare, the stable environment offered by Saturn Cloud supports the development of deep learning models for processing medical images. Furthermore, many organizations dealing with fast-growing data rely on Saturn Cloud for data preprocessing and creating machine learning models.

Saturn Cloud caters to a diverse range of users engaged in activities such as data analysis, machine learning model development, end-to-end machine learning pipelines, and implementing data science challenges. Its collaborative environment empowers data scientists to develop and train machine learning models more efficiently, accelerating the development and deployment of data-driven applications. The platform is highly recommended for training AI models due to its ease of use, speed, scalability, and affordability. Beginners and experienced users alike appreciate features like GPU support, pre-configured environments, and a built-in debugger.

The convenience of setting up a data science instance in just a few clicks and seamlessly starting work on their machine through SSH from vscode have been major factors driving users to choose Saturn Cloud over other alternatives. The platform caters to various needs by supporting use cases such as training reinforcement algorithms, deploying code in JupyterLab environments, analyzing data, and downloading results for further use. The ease of use of Saturn Cloud remains a major factor in users' decision to choose it over other alternatives.

Saturn Cloud has also made significant strides in specific fields of study. For example, it has become an invaluable tool for researchers working on MRI-based connectome science, leveraging its python-based compute servers to advance their models. Furthermore, Saturn Cloud serves as a go-to option for organizations and individuals focused on remote sensing image data processing, where it has greatly improved efficiency in handling large amounts of data.

The platform's versatility and user-friendly interface have earned it high praise among users. It excels at supporting developers in healthcare who are developing deep learning models for medical image processing. Moreover, data scientists appreciate Saturn Cloud for its collaborative environment that allows them to work seamlessly with team members, resulting in increased productivity and accelerated model development and deployment.

Whether it's organizations dealing with fast-growing data or individuals engaged in data analysis and machine learning pipelines, Saturn Cloud consistently proves to be a reliable solution. Its features such as GPU support, pre-configured environments, and built-in debugger make it an attractive option for both beginners and experienced users. Users value the platform's affordability, scalability, and overall performance.

With a strong track record of satisfied customers recommending Saturn Cloud to fellow professionals in the field, the platform has established itself as a trusted and efficient solution for various machine learning and data processing needs. By continually offering an intuitive user experience and robust infrastructure capable of handling complex computations and large datasets, Saturn Cloud remains an indispensable tool for businesses across industries.

Scalability: Many users have praised Saturn Cloud for its scalability, with multiple reviewers mentioning this as a standout feature. They appreciate the ability to easily adjust their computer power according to their project's needs without any hassle, allowing them to handle larger datasets and more complex workloads.

Collaboration Features: Reviewers have highlighted the collaboration features of Saturn Cloud, emphasizing that it was designed with teamwork in mind. Users appreciate the ability to share Jupyter notebooks and Python code with others, as well as the real-time collaboration tools such as built-in chat and video conferencing.

User-Friendly Interface: Several reviewers have praised Saturn Cloud for its user-friendly interface. They note that it is designed to be easy to use even for users without extensive technical expertise. The availability of pre-built templates and workflows for common tasks, along with built-in tools and libraries for machine learning and data analysis, further enhances the user experience.

Confusing User Interface: Some users have found Saturn Cloud's user interface to be confusing and not beginner-friendly, with multiple reviewers expressing this concern. They suggest that better guides and tutorials should be provided to make it simpler for beginners to learn and navigate the platform.

Limited Customization Options: Several users have mentioned that there is limited support for customization in Saturn Cloud. They express the need for more flexibility in modifying pre-configured environments, integrating custom libraries and tools, and using custom Docker images.

Slow Loading Time: The loading time of Saturn Cloud has been reported as long by some users. These reviewers suggest improving the platform's performance in this aspect to enhance efficiency and user experience.

Reviews

(1-16 of 16)
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Score 10 out of 10
Vetted Review
Verified User
  • Parallel Computing: Saturn Cloud helps us do multiple tasks at the same time, making our work faster and more efficient.
  • Easy Scalability: Saturn Cloud lets us adjust our computer power depending on our project's needs, without any hassle.
  • GPU Support: Saturn Cloud helps us work better with powerful machines, especially when we need them for complex tasks.
  • Easier to Learn: Saturn Cloud can improve by making it simpler for beginners with better guides and tutorials.
  • UI is a bit ugly
Score 10 out of 10
Vetted Review
Verified User
  • Reliable cloud machines where there are no crashes during the work
  • Fast CPU as claimed by the Saturn Cloud
  • GPU support for advanced machine learning projects and activities
  • Disk Images need to have the latest versions of python, pandas and other such libraries used in machine learning
Iftekhar Alam Fuad | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Scalability: One of Saturn Cloud's key strengths is its ability to scale resources quickly and easily. With just a few clicks, users can spin up new clusters with additional CPUs, memory, and storage as needed, allowing them to handle larger datasets and more complex workloads. Saturn Cloud also allows users to pause and resume clusters, which can help to reduce costs by only paying for resources when they're needed.
  • Collaboration: Saturn Cloud is designed with collaboration in mind, and includes a range of features that make it easy for teams to work together on data science projects. For example, users can share Jupyter notebooks and Python code with others, and collaborate in real-time using built-in chat and video conferencing tools. Saturn Cloud also provides centralized access control and auditing capabilities, which makes it easy to manage permissions and track changes.
  • User-friendly interface: Saturn Cloud's interface is designed to be easy to use, even for those without extensive technical expertise. The platform offers a range of pre-built templates and workflows that make it easy to get started with common tasks like data cleaning and model training, and includes a range of built-in tools and libraries for machine learning and data analysis. Additionally, Saturn Cloud offers a variety of tutorials and educational resources to help users get up to speed quickly.
  • While Saturn Cloud offers a range of pre-built templates and workflows, there is currently limited support for customization. For example, users may not be able to modify the pre-configured environments that come with the templates, or may find it difficult to integrate their own custom libraries and tools. Offering more flexibility in this area could help users tailor the platform to their specific needs and workflows.
  • While Saturn Cloud offers a variety of pre-built environments for data science and machine learning workloads, some users may prefer to use custom Docker images instead. However, the platform currently has limited support for Docker, which can be a limitation for users who need to work with specific dependencies or custom libraries. Adding more robust support for Docker could help to make the platform more versatile and adaptable to a wider range of use cases.
Qingchuan Sun | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Operational stability
  • Cheap running prices
  • Friendly IDE interface
  • The possibility of working together
  • Personalised email alerts before auto-stop (customised times for early alerts)
  • Possibility of resetting already planned resources
  • Find tutorials more easily on my personal Saturn Cloud homepage
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Creates Python Server
  • Creates R Server
  • Host an API or an App
  • Schedule command
  • Data Analysis in Python and R
  • Create an end to end machine learning project
  • It does not have Java Server
  • Limited Storage in free Version
  • GPU Also Limited in Free Version
  • Web Development in future
Sergio Vechi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • It is stable.
  • It is available when you need.
  • It is easy to use.
  • Improve documentation, for example, in solving problems during the installation of libraries such as opencv.
  • Sometimes the loading time can be long.
  • It would be nice to be able to set an alarm to avoid forgetting a running machine.
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